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5. The system of claim 1 , wherein incorporating the text data into one or more language models comprises incorporating the text data into a single language model to generate a cumulative language model. | 5. The system of claim 1 , wherein incorporating the text data into one or more language models comprises incorporating the text data into a single language model to generate a cumulative language model. 6. The system of claim 5 , wherein the text data represents text entered into any of the plurality of devices since a previous synchronisation of the devices and incorporating the text data into one or more language models comprises incorporating the text data into the cumulative language model. | 0.873724 |
7. A device comprising: a touch-screen device; one or more processors; one or more memory devices to store instructions that are executable by the one or more processors to perform operations comprising: receiving a gesture input from the touch-screen device; in response to determining that the gesture input is excluded from a set of gestures stored in the one or more memory devices, receiving a set of user gestures from a second computing device; determining an action corresponding to the gesture input based at least partly on the set of user gestures; performing the action corresponding to the gesture input; and in response to determining that a second gesture input received from the touch-screen device within a predetermined time period after receiving the gesture input comprises a duplicate gesture of the gesture input, ignoring the duplicate gesture, wherein the gesture input and the second gesture input are provided to a same software application being executed by the device. | 7. A device comprising: a touch-screen device; one or more processors; one or more memory devices to store instructions that are executable by the one or more processors to perform operations comprising: receiving a gesture input from the touch-screen device; in response to determining that the gesture input is excluded from a set of gestures stored in the one or more memory devices, receiving a set of user gestures from a second computing device; determining an action corresponding to the gesture input based at least partly on the set of user gestures; performing the action corresponding to the gesture input; and in response to determining that a second gesture input received from the touch-screen device within a predetermined time period after receiving the gesture input comprises a duplicate gesture of the gesture input, ignoring the duplicate gesture, wherein the gesture input and the second gesture input are provided to a same software application being executed by the device. 9. The device of claim 7 , the operations further comprising: determining a context associated with the gesture input; and determining the action corresponding to the gesture input based at least partly on the context associated with the gesture input. | 0.580848 |
17. A non-transitory computer readable storage medium, storing software instructions, which when executed by one or more processors, perform operations comprising: receiving, at a first cluster, a search query, the first cluster being a first data intake and query system; transmitting, through a firewall of either the first cluster or a cloud-based cluster, a request for information identifying a plurality of indexers of the cloud-based cluster, the cloud-based cluster being a second data intake and query system; in response to the request, obtaining, from the cloud-based cluster, the information identifying the plurality of indexers, wherein the first cluster and the cloud-based cluster each include at least one master node that is knowledgeable about active indexers within its respective cluster, and the information identifies the plurality of indexers based on the at least one master node of the cloud-based cluster identifying the active indexers; distributing the search query to the plurality of indexers of the cloud-based cluster and one or more indexers of the first cluster, said distributing using the obtained information identifying the plurality of indexers and being through the firewall; and receiving, at the first cluster, a response to the distributed search query from at least one of the plurality of indexers of the cloud-based cluster wherein each response from a respective indexer is produced by the respective indexer based on an evaluation, by the respective indexer, of the distributed search query. | 17. A non-transitory computer readable storage medium, storing software instructions, which when executed by one or more processors, perform operations comprising: receiving, at a first cluster, a search query, the first cluster being a first data intake and query system; transmitting, through a firewall of either the first cluster or a cloud-based cluster, a request for information identifying a plurality of indexers of the cloud-based cluster, the cloud-based cluster being a second data intake and query system; in response to the request, obtaining, from the cloud-based cluster, the information identifying the plurality of indexers, wherein the first cluster and the cloud-based cluster each include at least one master node that is knowledgeable about active indexers within its respective cluster, and the information identifies the plurality of indexers based on the at least one master node of the cloud-based cluster identifying the active indexers; distributing the search query to the plurality of indexers of the cloud-based cluster and one or more indexers of the first cluster, said distributing using the obtained information identifying the plurality of indexers and being through the firewall; and receiving, at the first cluster, a response to the distributed search query from at least one of the plurality of indexers of the cloud-based cluster wherein each response from a respective indexer is produced by the respective indexer based on an evaluation, by the respective indexer, of the distributed search query. 22. The non-transitory computer readable storage medium as described in claim 17 , wherein the search query is configured to be used to search log data. | 0.623874 |
25. The speech communication apparatus according to claim 24 , wherein the audio output unit is further configured to output auditory communications based on a conversation history with the conversation partner. | 25. The speech communication apparatus according to claim 24 , wherein the audio output unit is further configured to output auditory communications based on a conversation history with the conversation partner. 27. The speech communication apparatus according to claim 25 , further comprising: a camera; and a microphone. | 0.935275 |
1. In a computing environment, a method for facilitating adding content to forms by providing field content suggestions using context determined based on form features, the method comprising: defining a plurality of form contexts, wherein the form contexts comprise a unique purpose, a circumstance, or a perspective of a representative form, and wherein each of the form contexts is defined by assigning to it a plurality of representative form features and by assigning a weighting to each of the representative form features, wherein the representative form features comprise non-text field characteristics, field labels, and other field-specific text characteristics; providing a user interface for display, the user interface displaying a form and providing editing features usable to add content to fillable fields of the form, each of the fillable fields identified by a field label; determining, by a processor, which of the plurality of form contexts to assign to a portion of the form by identifying form features found in the portion of the form, correlating the identified form features to the representative form features of each of the form contexts, and assigning to the portion of the form the form context having a highest degree of correlation, wherein the portion of the form comprises a plurality of the fillable fields of the form; identifying, by the processor and from the form context of the portion of the form, a field content suggestion for a fillable field within the portion of the form, the field content suggestion indicating content items selectable by a user to complete the fillable field; and providing, by the processor, the field content suggestion for the fillable field for display in the user interface. | 1. In a computing environment, a method for facilitating adding content to forms by providing field content suggestions using context determined based on form features, the method comprising: defining a plurality of form contexts, wherein the form contexts comprise a unique purpose, a circumstance, or a perspective of a representative form, and wherein each of the form contexts is defined by assigning to it a plurality of representative form features and by assigning a weighting to each of the representative form features, wherein the representative form features comprise non-text field characteristics, field labels, and other field-specific text characteristics; providing a user interface for display, the user interface displaying a form and providing editing features usable to add content to fillable fields of the form, each of the fillable fields identified by a field label; determining, by a processor, which of the plurality of form contexts to assign to a portion of the form by identifying form features found in the portion of the form, correlating the identified form features to the representative form features of each of the form contexts, and assigning to the portion of the form the form context having a highest degree of correlation, wherein the portion of the form comprises a plurality of the fillable fields of the form; identifying, by the processor and from the form context of the portion of the form, a field content suggestion for a fillable field within the portion of the form, the field content suggestion indicating content items selectable by a user to complete the fillable field; and providing, by the processor, the field content suggestion for the fillable field for display in the user interface. 11. The method of claim 1 , wherein determining which of the plurality of form contexts to assign to of the portion of the form further comprises comparing the identified form features found in the portion of the form with form features found in another portion of the form different from the portion of the form. | 0.655248 |
1. An electronic apparatus, comprising: a voice input unit configured to receive a user voice; a storage unit configured to store a plurality of voice print feature models representing a plurality of user voices and a plurality of utterance environment models representing a plurality of environmental disturbances; and a controller, in response to the user voice being input through the voice input unit, configured to: calculate a plurality of similarities between a voice print feature of the user voice and a plurality of voice print features of the plurality of voice print feature models stored in the storage unit without using, in calculating the plurality of similarities, an utterance environment model corresponding to a place where the user voice is input, determine whether there is a similarity equal to or greater than a preset value, from among the plurality of similarities, in response to determining that the similarity equal to or greater than the preset value exists, recognize a user based on a voice print feature model corresponding to the similarity equal to or greater than the preset value, from among the plurality of voice print feature models, and in response to determining that the similarity equal to or greater than the preset value does not exist, revise the plurality of similarities using the utterance environment model corresponding to the place where the user voice is input, from among the plurality of utterance environment models, and recognize the user using the revised plurality of similarities. | 1. An electronic apparatus, comprising: a voice input unit configured to receive a user voice; a storage unit configured to store a plurality of voice print feature models representing a plurality of user voices and a plurality of utterance environment models representing a plurality of environmental disturbances; and a controller, in response to the user voice being input through the voice input unit, configured to: calculate a plurality of similarities between a voice print feature of the user voice and a plurality of voice print features of the plurality of voice print feature models stored in the storage unit without using, in calculating the plurality of similarities, an utterance environment model corresponding to a place where the user voice is input, determine whether there is a similarity equal to or greater than a preset value, from among the plurality of similarities, in response to determining that the similarity equal to or greater than the preset value exists, recognize a user based on a voice print feature model corresponding to the similarity equal to or greater than the preset value, from among the plurality of voice print feature models, and in response to determining that the similarity equal to or greater than the preset value does not exist, revise the plurality of similarities using the utterance environment model corresponding to the place where the user voice is input, from among the plurality of utterance environment models, and recognize the user using the revised plurality of similarities. 6. The electronic apparatus as claimed in claim 1 , wherein the controller, in response to the user being recognized, is further configured to change an execution mode of the electronic apparatus to a predetermined voice recognition mode based on the recognized user. | 0.707317 |
1. An intelligent decision supporting system, the system comprising: at least one controller configured to execute one or more modules; and a storage unit for storing the one or more modules, wherein the one or more modules comprises: a multi-dimensional classifier module, comprising a plurality of classifiers that define different semantic standards and are trained based on the different semantic standards, for classifying a text by the semantic standards and for outputting a plurality of attributes of the text and a confidence rate of each of the plurality of attributes; a question submitting module for receiving the output of the multi-dimensional classifier module, for forming a question based on the plurality of attributes of the text and the confidence rate of each attribute, and for submitting the question to an inference module; the inference module for receiving the question submitted by the question submitting module, for inquiring of a domain ontology knowledge library based on the question, and for providing an answer for the question to a decision reply module; a domain ontology knowledge library module for storing a domain ontology knowledge library related to an application domain of the intelligent decision supporting system, wherein the domain ontology knowledge library records descriptions of rules for deriving decisions corresponding to the semantic standards of the multi-dimensional classifier module; and the decision reply module for providing the answer for the question provided by the inference machine to a user. | 1. An intelligent decision supporting system, the system comprising: at least one controller configured to execute one or more modules; and a storage unit for storing the one or more modules, wherein the one or more modules comprises: a multi-dimensional classifier module, comprising a plurality of classifiers that define different semantic standards and are trained based on the different semantic standards, for classifying a text by the semantic standards and for outputting a plurality of attributes of the text and a confidence rate of each of the plurality of attributes; a question submitting module for receiving the output of the multi-dimensional classifier module, for forming a question based on the plurality of attributes of the text and the confidence rate of each attribute, and for submitting the question to an inference module; the inference module for receiving the question submitted by the question submitting module, for inquiring of a domain ontology knowledge library based on the question, and for providing an answer for the question to a decision reply module; a domain ontology knowledge library module for storing a domain ontology knowledge library related to an application domain of the intelligent decision supporting system, wherein the domain ontology knowledge library records descriptions of rules for deriving decisions corresponding to the semantic standards of the multi-dimensional classifier module; and the decision reply module for providing the answer for the question provided by the inference machine to a user. 2. The system of claim 1 , wherein the one or more modules further comprises: a knowledge library management module for configuring the rules for deriving the domain ontology knowledge library stored in the domain ontology knowledge library module and the form of the question of the question submitting module. | 0.539373 |
17. The development system of claim 16 , wherein the structure of the corresponding element type is defined by a set of properties and methods that define runtime behavior of elements having the corresponding element type. | 17. The development system of claim 16 , wherein the structure of the corresponding element type is defined by a set of properties and methods that define runtime behavior of elements having the corresponding element type. 18. The development system of claim 17 , and wherein the instructions configure the development system to: receive an indication of a search query having at least one search term; identify a type-based search parameter for the search query; and select one of the search components based on the type-based search parameter, wherein the selected search component is instantiated to search the application elements based on the search term. | 0.79206 |
1. A user monitoring device system, comprising: a user monitoring device that includes one or more microphones, a transmitter and sensors to determine air quality, sound level/quality, light quality and ambient temperature near the user, the transmitter serving as a communication system; a motion detection apparatus configured to detect a user's movement information, the motion detection apparatus and the monitoring system configured to assist to determine at least one of: user sleep information and sleep behavior information, or user respiration information; a cloud based system in communication with the monitoring device and the motion detection apparatus, the cloud based system including a user database; and a speech recognition system coupled to the cloud based system and configured to initiate communication based on identifying a voice command. | 1. A user monitoring device system, comprising: a user monitoring device that includes one or more microphones, a transmitter and sensors to determine air quality, sound level/quality, light quality and ambient temperature near the user, the transmitter serving as a communication system; a motion detection apparatus configured to detect a user's movement information, the motion detection apparatus and the monitoring system configured to assist to determine at least one of: user sleep information and sleep behavior information, or user respiration information; a cloud based system in communication with the monitoring device and the motion detection apparatus, the cloud based system including a user database; and a speech recognition system coupled to the cloud based system and configured to initiate communication based on identifying a voice command. 9. The system of claim 1 , wherein the device is a mobile device. | 0.571572 |
10. A System for processing information on a nucleotide sequence, the system comprising: a processor configured to: receive positional information representing a position in a nucleotide sequence in accordance with a request for an object and/or service; obtain from a memory device, from among a plurality of pieces of polymorphism pattern, a polymorphism pattern associated with the received positional information, wherein the obtained polymorphism pattern is information on nucleotide sequence which differs among individual organisms and shows a pattern of nucleotide or nucleotide sequence in a polymorphism; transmit the obtained polymorphism pattern; receive information corresponding to the transmitted polymorphism pattern and/or information associated with the corresponding information in association with positional information; make a determination as to whether the received positional information matches positional information related to the transmitted polymorphism pattern; and disclose information concerning a party that received the transmitted polymorphism pattern to a third party, wherein the third party is an organization for ensuring compliance with rules concerning transmission/reception of the positional information or the polymorphism pattern through a communication network. | 10. A System for processing information on a nucleotide sequence, the system comprising: a processor configured to: receive positional information representing a position in a nucleotide sequence in accordance with a request for an object and/or service; obtain from a memory device, from among a plurality of pieces of polymorphism pattern, a polymorphism pattern associated with the received positional information, wherein the obtained polymorphism pattern is information on nucleotide sequence which differs among individual organisms and shows a pattern of nucleotide or nucleotide sequence in a polymorphism; transmit the obtained polymorphism pattern; receive information corresponding to the transmitted polymorphism pattern and/or information associated with the corresponding information in association with positional information; make a determination as to whether the received positional information matches positional information related to the transmitted polymorphism pattern; and disclose information concerning a party that received the transmitted polymorphism pattern to a third party, wherein the third party is an organization for ensuring compliance with rules concerning transmission/reception of the positional information or the polymorphism pattern through a communication network. 12. The system of claim 10 , wherein the processor further determines that there is no match between the received positional information and the positional information related to the transmitted polymorphism pattern. | 0.87413 |
21. A computer program product for controlling access to a portion of a document, the document comprising a plurality of portions, the computer program product comprising a computer readable storage medium storing a computer program for performing a method, the method comprising: receiving a request to access the document portion; identifying a variable accessibility rule associated with the requested document portion; evaluating the rule based on data describing past accesses of other ones of the plurality of document portions; determining whether to provide access to the requested document portion responsive to the evaluation of the rule; and responding to the request based on the determination. | 21. A computer program product for controlling access to a portion of a document, the document comprising a plurality of portions, the computer program product comprising a computer readable storage medium storing a computer program for performing a method, the method comprising: receiving a request to access the document portion; identifying a variable accessibility rule associated with the requested document portion; evaluating the rule based on data describing past accesses of other ones of the plurality of document portions; determining whether to provide access to the requested document portion responsive to the evaluation of the rule; and responding to the request based on the determination. 27. The computer program product of claim 21 , wherein the rule indicates that access to the requested document portion is granted responsive to the data describing past accesses indicating that access was not provided to one or more other document portions more frequently than access was provided to the requested document portion. | 0.542271 |
1. A computer-implemented method comprising: receiving a set of conversations between a member of a first party type and a member of a second party type, wherein each of the conversations includes a communication of a member of the first party type and a communication of a member of the second party type that is responsive to the communication of the member of the first party type; grouping the communications of members of the first party type into a first set of clusters; grouping the responsive communications of members of the second party type into a second set of clusters based upon the grouping of the communications of members of the first party type; and by machine, generating a set of agent type classifiers for one or more clusters in the second set of clusters, wherein generating is a step executed by a computer processor that is a functional component of the computer, said execution being part of execution, by the computer processor, of computer-readable instructions embedded on a computer-readable storage medium. | 1. A computer-implemented method comprising: receiving a set of conversations between a member of a first party type and a member of a second party type, wherein each of the conversations includes a communication of a member of the first party type and a communication of a member of the second party type that is responsive to the communication of the member of the first party type; grouping the communications of members of the first party type into a first set of clusters; grouping the responsive communications of members of the second party type into a second set of clusters based upon the grouping of the communications of members of the first party type; and by machine, generating a set of agent type classifiers for one or more clusters in the second set of clusters, wherein generating is a step executed by a computer processor that is a functional component of the computer, said execution being part of execution, by the computer processor, of computer-readable instructions embedded on a computer-readable storage medium. 13. The method of claim 1 wherein grouping communications of members of the first party type into a first set of clusters comprises: grouping communications corresponding to requests for information from members of the first party type into a first set of clusters. | 0.621507 |
1. A method for providing autocompletion of a link to a resource in a wiki-editor user interface, comprising the following steps: receiving content for a wiki page via the wiki-editor user interface at a client computing device; receiving, via the wiki-editor user interface, an indication that a user desires to link to a resource; receiving a list of a plurality of resource object types available for linking from the wiki page, the resource object types comprising one or more categories of wiki resources and maintained in a registration document further including contact information for a provider associated with each of the resource object types; displaying the list of resource object types; receiving a selection of one of the resource object types; receiving a list of options for the selected resource object type by accessing the registration document, obtaining the contact information for the provider of the selected resource object type, and requesting the list options from the provider, wherein the list of options comprises different resources of the selected resource object type that are available for linking from the wiki page; displaying the list of options for the selected resource object type; receiving first input text; acquiring a filtered list of options that contains only options for the selected resource object type that include the first input text; receiving the filtered list of options; receiving a selection of one of the filtered options; and inserting a link to the selected filtered option into the content. | 1. A method for providing autocompletion of a link to a resource in a wiki-editor user interface, comprising the following steps: receiving content for a wiki page via the wiki-editor user interface at a client computing device; receiving, via the wiki-editor user interface, an indication that a user desires to link to a resource; receiving a list of a plurality of resource object types available for linking from the wiki page, the resource object types comprising one or more categories of wiki resources and maintained in a registration document further including contact information for a provider associated with each of the resource object types; displaying the list of resource object types; receiving a selection of one of the resource object types; receiving a list of options for the selected resource object type by accessing the registration document, obtaining the contact information for the provider of the selected resource object type, and requesting the list options from the provider, wherein the list of options comprises different resources of the selected resource object type that are available for linking from the wiki page; displaying the list of options for the selected resource object type; receiving first input text; acquiring a filtered list of options that contains only options for the selected resource object type that include the first input text; receiving the filtered list of options; receiving a selection of one of the filtered options; and inserting a link to the selected filtered option into the content. 2. The method of claim 1 , wherein receiving the indication that the user desires to link to the resource comprises detecting that the user has input link-initiating text in the content received in the wiki-editor user interface. | 0.630822 |
1. A method for constructing a semantic query over a corpus of data, the method comprising: using a graphical user interface to create an aggregation of graphical representations of annotations associated with a plurality of data elements contained within the corpus of data and graphical representations of search terms contained within the plurality of data elements, by: creating a separate display window within the graphical user interface for each annotation and for each search term; and entering an annotation or search term into each display, wherein the aggregation comprises at least one annotation and at least one search term; manipulating relative positions of the graphical representations of the annotations and the search terms within the aggregation within the graphical user interface to express relationships among the annotations and search terms by moving the display windows within the graphical user interface relative to each other to generate a visual spatial representation of the semantic query, the annotations, search terms and expressed relationships defining the semantic query; and searching the corpus of data using the defined semantic query. | 1. A method for constructing a semantic query over a corpus of data, the method comprising: using a graphical user interface to create an aggregation of graphical representations of annotations associated with a plurality of data elements contained within the corpus of data and graphical representations of search terms contained within the plurality of data elements, by: creating a separate display window within the graphical user interface for each annotation and for each search term; and entering an annotation or search term into each display, wherein the aggregation comprises at least one annotation and at least one search term; manipulating relative positions of the graphical representations of the annotations and the search terms within the aggregation within the graphical user interface to express relationships among the annotations and search terms by moving the display windows within the graphical user interface relative to each other to generate a visual spatial representation of the semantic query, the annotations, search terms and expressed relationships defining the semantic query; and searching the corpus of data using the defined semantic query. 15. The method of claim 1 , wherein the step of manipulating relative positions of the graphical representations further comprises moving the graphical representation of a given annotation relative to two or more additional graphical representations of annotations to assign an attribute of the given annotation to the additional annotations. | 0.514053 |
2. The method of claim 1 , further comprising storing a multimedia affinity graph in one or more memories, wherein said affinity graph represents multimedia data samples as nodes and comprises edges measuring relatedness among data samples; and calculating a classification function based on at least the selected multimedia label data using a processor associated with said one or more memories, wherein calculating said classification function comprises iteratively performing at least updating selected multimedia label data relating to selected multimedia data or predicting new multimedia label data for stored multimedia data using said processor. | 2. The method of claim 1 , further comprising storing a multimedia affinity graph in one or more memories, wherein said affinity graph represents multimedia data samples as nodes and comprises edges measuring relatedness among data samples; and calculating a classification function based on at least the selected multimedia label data using a processor associated with said one or more memories, wherein calculating said classification function comprises iteratively performing at least updating selected multimedia label data relating to selected multimedia data or predicting new multimedia label data for stored multimedia data using said processor. 3. The method of claim 2 , wherein at least one multimedia label data sample is further normalized based on a regularization matrix calculated using members of a corresponding class and connectivity degrees of the corresponding nodes in the graph. | 0.685283 |
1. An adaptive autonomous agent comprising: an adaptive critic-type neural network having a plurality of network inputs at least some of which are verbal inputs applied in a selected sensory modality; sensors connected to said network inputs; a non-verbal network output; actuators connected to said first network output; means for sensing a current state of said actuators; at least one verbal network output; training means for establishing sets of connections from the verbal inputs to the first network output and the verbal network output. | 1. An adaptive autonomous agent comprising: an adaptive critic-type neural network having a plurality of network inputs at least some of which are verbal inputs applied in a selected sensory modality; sensors connected to said network inputs; a non-verbal network output; actuators connected to said first network output; means for sensing a current state of said actuators; at least one verbal network output; training means for establishing sets of connections from the verbal inputs to the first network output and the verbal network output. 12. The adaptive autonomous agent of claim 1 wherein the training means comprises: a primary value register for storing one or more primary values; means for adjusting the primary values based upon the responses each time the responses change; and sensors coupled to sense the primary values and having sensor outputs coupled to some of the network inputs. | 0.745364 |
12. A method for building a custom word list for use in text operations on an electronic device comprising: determining a source associated with a text item; identifying words in the text item composed by and associated with a user; and assigning a weighting to each identified word based in part on the source of the text item, wherein the source is determined based on an identity of the user associated with at least one portion of the text item. | 12. A method for building a custom word list for use in text operations on an electronic device comprising: determining a source associated with a text item; identifying words in the text item composed by and associated with a user; and assigning a weighting to each identified word based in part on the source of the text item, wherein the source is determined based on an identity of the user associated with at least one portion of the text item. 22. The method of claim 12 , wherein at least one of the identified words comprise a number of words. | 0.748397 |
12. A system, comprising: one or more server devices to: obtain, from a client device, a first voice request to access a voice processing system that processes voice communications received from client devices, determine, based on the first voice request, a first pace at which terms, associated with the first voice request, are spoken by a user of the client device, determine a second pace, where the second pace is based on a weighted average of a user pace of terms spoken, by the user when accessing the voice processing system, prior to the first voice request being received, and another pace of terms spoken by users of other client devices, other than the client device, when accessing the voice processing system, wherein a first weight assigned to the user pace is different than a second weight assigned to the another pace; compare the first pace to the second pace, determine a third pace based on the comparison of the first pace to the second pace, and send, to the client device, a voice response to be outputted at the third pace. | 12. A system, comprising: one or more server devices to: obtain, from a client device, a first voice request to access a voice processing system that processes voice communications received from client devices, determine, based on the first voice request, a first pace at which terms, associated with the first voice request, are spoken by a user of the client device, determine a second pace, where the second pace is based on a weighted average of a user pace of terms spoken, by the user when accessing the voice processing system, prior to the first voice request being received, and another pace of terms spoken by users of other client devices, other than the client device, when accessing the voice processing system, wherein a first weight assigned to the user pace is different than a second weight assigned to the another pace; compare the first pace to the second pace, determine a third pace based on the comparison of the first pace to the second pace, and send, to the client device, a voice response to be outputted at the third pace. 17. The system of claim 12 , where, when determining the first pace, the one or more server devices are to: detect one or more terms associated with the first voice request, and identify the first pace based on a respective period of time for the user to speak each of the one or more terms. | 0.726828 |
12. A computer program product comprising a non-transitory computer readable storage medium having a computer readable program stored therein, wherein the computer readable program comprises: an acoustic model that receives as input an audio signal and generates a sequence of words based on the audio signal by the acoustic model; an external word embedding neural network language model that accepts as input a sequence of words and predicts a current word based on the sequence of words, wherein the external word embedding neural network language model combines an external embedding matrix to a history word embedding matrix and a prediction word embedding matrix of the external word embedding neural network language model; instructions configured to execute on a computing device to cause the computing device to implement an automatic speech recognition system, wherein the instructions cause the computing device to: receive the sequence of input words by the automatic speech recognition system from the acoustic model; apply a plurality of previous words in the sequence of input words as inputs to the external word embedding neural network language model by the automatic speech recognition system, wherein the external word embedding neural network language model generates a predicted current word based on the plurality of previous words; and process a current word in the sequence of input words based on the predicted current word generated by the external word embedding neural network language model in the automatic speech recognition system, wherein processing the current word comprises recognizing a current spoken word in the audio signal based on the predicted current word. | 12. A computer program product comprising a non-transitory computer readable storage medium having a computer readable program stored therein, wherein the computer readable program comprises: an acoustic model that receives as input an audio signal and generates a sequence of words based on the audio signal by the acoustic model; an external word embedding neural network language model that accepts as input a sequence of words and predicts a current word based on the sequence of words, wherein the external word embedding neural network language model combines an external embedding matrix to a history word embedding matrix and a prediction word embedding matrix of the external word embedding neural network language model; instructions configured to execute on a computing device to cause the computing device to implement an automatic speech recognition system, wherein the instructions cause the computing device to: receive the sequence of input words by the automatic speech recognition system from the acoustic model; apply a plurality of previous words in the sequence of input words as inputs to the external word embedding neural network language model by the automatic speech recognition system, wherein the external word embedding neural network language model generates a predicted current word based on the plurality of previous words; and process a current word in the sequence of input words based on the predicted current word generated by the external word embedding neural network language model in the automatic speech recognition system, wherein processing the current word comprises recognizing a current spoken word in the audio signal based on the predicted current word. 13. The computer program product of claim 12 , wherein the external word embedding neural network language model generates input features from the plurality of previous words based on a concatenation of the external embedding matrix to the history word embedding matrix and provides the input features to a hidden layer of the external word embedding neural network language model. | 0.5 |
18. A method for generating a translation model for a statistical machine translation system, comprising the steps of: selecting a plurality of parallel sentences having one or more phrases using at least one of word occurrence frequency information and a minimum BLEU score criterion, each of said parallel sentences having a source language sentence and a target language sentence; manually aligning, via an alignment tool, words and phrases between said source language sentences and said target language sentences of said parallel sentences; extracting alignment patterns from said manually aligned sentences; estimating word alignments from said alignment patterns; extracting source-target phrases using the word alignments; and estimating the one or more translation models from the extracted source-target phrases. | 18. A method for generating a translation model for a statistical machine translation system, comprising the steps of: selecting a plurality of parallel sentences having one or more phrases using at least one of word occurrence frequency information and a minimum BLEU score criterion, each of said parallel sentences having a source language sentence and a target language sentence; manually aligning, via an alignment tool, words and phrases between said source language sentences and said target language sentences of said parallel sentences; extracting alignment patterns from said manually aligned sentences; estimating word alignments from said alignment patterns; extracting source-target phrases using the word alignments; and estimating the one or more translation models from the extracted source-target phrases. 20. The method of claim 18 , wherein the extracting alignment patterns step is performed with discontinuity information from manually annotated data. | 0.704418 |
6. A computer system for dynamically accessing secure content, comprising: a hardware processor; a memory communicatively coupled to the hardware processor; a search application including a crawler application configured to crawl a group of documents in a secure data source, the search application being further configured to index, using the hardware processor, each crawled document and store document metadata for said each crawled document including a generic link for said each crawled document; a query application configured to receive a query from an authenticated user of an enterprise, wherein an indexed document satisfies the query relating to the previously indexed document, and the authenticated user having user security attribute values stored in the memory and accessible to the search application; and a callback application configured to send a callback to the secure data source from which the indexed document was crawled by the crawler application, the callback including the metadata for the previously indexed document and the user security attribute values, the callback application configured to build, in response to the callback, an updated document metadata for the indexed document, wherein the updated document metadata for the indexed document is different from the stored document metadata for the indexed document, modify the metadata for the indexed document based on the updated document metadata, and build an updated link that is updated based on the existing generic link and the user security attribute values, the updated link pointing to results that are appropriate for the user at substantially the time of the query, wherein building the updated link includes receiving an updated link from a secure application, wherein the updated link includes encoded information for the secure data source, and the callback application is further configured to stamp each of the results in an index with the user security attribute values such that the stamped results are only available for search in the index by the user associated with the user security attribute values. | 6. A computer system for dynamically accessing secure content, comprising: a hardware processor; a memory communicatively coupled to the hardware processor; a search application including a crawler application configured to crawl a group of documents in a secure data source, the search application being further configured to index, using the hardware processor, each crawled document and store document metadata for said each crawled document including a generic link for said each crawled document; a query application configured to receive a query from an authenticated user of an enterprise, wherein an indexed document satisfies the query relating to the previously indexed document, and the authenticated user having user security attribute values stored in the memory and accessible to the search application; and a callback application configured to send a callback to the secure data source from which the indexed document was crawled by the crawler application, the callback including the metadata for the previously indexed document and the user security attribute values, the callback application configured to build, in response to the callback, an updated document metadata for the indexed document, wherein the updated document metadata for the indexed document is different from the stored document metadata for the indexed document, modify the metadata for the indexed document based on the updated document metadata, and build an updated link that is updated based on the existing generic link and the user security attribute values, the updated link pointing to results that are appropriate for the user at substantially the time of the query, wherein building the updated link includes receiving an updated link from a secure application, wherein the updated link includes encoded information for the secure data source, and the callback application is further configured to stamp each of the results in an index with the user security attribute values such that the stamped results are only available for search in the index by the user associated with the user security attribute values. 8. The system according to claim 6 , wherein: the updated link is an active and valid link for only the current user. | 0.533621 |
20. A computer-readable medium having computer-executable instructions for: performing a presentation, on a display device, of a customized visualization in an industrial automation environment, comprising further instructions for: determining data relating to an industrial automation environment in connection with presenting a first data visualization, including the data, on a first display device, wherein the first data visualization comprises a first display object subset; capturing context information pertaining to the first data visualization; determining a second display object subset facilitating presenting of the data as a function of the context information, wherein the first display object subset and second display object subset comprise at least one display object selected from a set of display objects and the first display object subset and the second display object subset are non-overlapping; selecting the second display object subset; and updating, dynamically, the first data visualization with a second data visualization displaying the data with the second display object subset. | 20. A computer-readable medium having computer-executable instructions for: performing a presentation, on a display device, of a customized visualization in an industrial automation environment, comprising further instructions for: determining data relating to an industrial automation environment in connection with presenting a first data visualization, including the data, on a first display device, wherein the first data visualization comprises a first display object subset; capturing context information pertaining to the first data visualization; determining a second display object subset facilitating presenting of the data as a function of the context information, wherein the first display object subset and second display object subset comprise at least one display object selected from a set of display objects and the first display object subset and the second display object subset are non-overlapping; selecting the second display object subset; and updating, dynamically, the first data visualization with a second data visualization displaying the data with the second display object subset. 22. The computer-readable medium of claim 20 , further comprising reformatting data in response to the data being in a format incompatible for display by the second display object subset. | 0.598321 |
1. A computerized method for processing a user input event having a code associated therewith, said method comprising: receiving notification of said input event, said notification including the associated code; determining whether a text converting component is interested in performing a conversion action with respect to said input event; notifying an application of said input event, by providing said application a sentinel value indicating a pending text event, when the text converting component is interested in performing said conversion action with respect to said input event; receiving from the application a specific request associated with said sentinel value to disclose said code, wherein said request is generated by the application incident to the application recognizing that said sentinel value represents a type of input event that is capable of being processed by said application; and revealing said code to the application in response to said request to disclose said code. | 1. A computerized method for processing a user input event having a code associated therewith, said method comprising: receiving notification of said input event, said notification including the associated code; determining whether a text converting component is interested in performing a conversion action with respect to said input event; notifying an application of said input event, by providing said application a sentinel value indicating a pending text event, when the text converting component is interested in performing said conversion action with respect to said input event; receiving from the application a specific request associated with said sentinel value to disclose said code, wherein said request is generated by the application incident to the application recognizing that said sentinel value represents a type of input event that is capable of being processed by said application; and revealing said code to the application in response to said request to disclose said code. 4. The computerized method of claim 1 , further comprising communicating said code to the application when the text converting component is not interested in processing said user input event. | 0.625341 |
7. The method of claim 3 wherein the at least one selectable character string comprises at least two strings, each having an overall score, and wherein the overall score for each is the same the method comprises: ranking the strings according to a hierarchy. | 7. The method of claim 3 wherein the at least one selectable character string comprises at least two strings, each having an overall score, and wherein the overall score for each is the same the method comprises: ranking the strings according to a hierarchy. 8. The method of claim 7 wherein the hierarchy is based upon at least one of: exact matches, stopwords, related words, unrelated words. | 0.875217 |
6. A method of operating a network-based agent to seek out users of a network with common interests, where said users are connected via user terminals and data communication connections to a server system which provides access to an electronic data transmission media, comprising the steps of: dynamically creating bulletin boards for said users, comprising: scanning bulletin board postings to existing bulletin boards, identifying a group of users who have common interests, matching users with other like inclined users in said identified group to create a proposed new bulletin board. | 6. A method of operating a network-based agent to seek out users of a network with common interests, where said users are connected via user terminals and data communication connections to a server system which provides access to an electronic data transmission media, comprising the steps of: dynamically creating bulletin boards for said users, comprising: scanning bulletin board postings to existing bulletin boards, identifying a group of users who have common interests, matching users with other like inclined users in said identified group to create a proposed new bulletin board. 9. The method of operating a network-based agent of claim 6 wherein said step of identifying a group of users comprises: automatically generating at least one user target profile interest summary for a user at a user terminal, each said user target profile interest summary being generated from ones of said bulletin boards accessed by said user. | 0.757288 |
29. A method for storing digitally-encoded linguistic information in a digital data processing apparatus, said method comprising the steps of A. inputting plural linguistic expressions, each said linguistic expression including alphanumeric characters, B. generating signals representing plural master lexicon entries, each said entry representing an input linguistic expression, C. forming plural master lexicon blocks, each said block being formed by the steps of (i) generating a linguistically salient word skeleton for each linguistic expression in the block, (ii) collating said block linguistically salient word skeletons and determining therefrom a block skeletal collation range, and (iii) storing in a storage medium one or more said master lexicon entries, D. forming a master lexicon wherein said blocks are arranged in an addressable sequence determined in accord with their respective skeletal collation ranges. | 29. A method for storing digitally-encoded linguistic information in a digital data processing apparatus, said method comprising the steps of A. inputting plural linguistic expressions, each said linguistic expression including alphanumeric characters, B. generating signals representing plural master lexicon entries, each said entry representing an input linguistic expression, C. forming plural master lexicon blocks, each said block being formed by the steps of (i) generating a linguistically salient word skeleton for each linguistic expression in the block, (ii) collating said block linguistically salient word skeletons and determining therefrom a block skeletal collation range, and (iii) storing in a storage medium one or more said master lexicon entries, D. forming a master lexicon wherein said blocks are arranged in an addressable sequence determined in accord with their respective skeletal collation ranges. 30. A method according to claim 29 wherein said master lexicon entry-forming step comprises the step of generating a digital code representing a difference in character content between a first input expression represented in a first master lexicon entry and a second input expression represented in a second master lexicon entry. | 0.73912 |
1. A method for defining declarative code according to a declarative programming model comprising a type system supporting type refinement and type membership, including: receiving a specification of at least one programming construct of a declarative programming language including receiving a specification of a type refinement construct that defines at least one type by specifying values for which a Boolean expression is true, and receiving, within a first expression of the type refinement construct, a specification of a type membership test construct that determines whether one or more resulting values of evaluating a second expression that is included in the first expression is a member of an indicated type; and generating a machine readable representation of code based on the specification of the at least one programming construct, one or more judgments associated with the type membership test being associated with the first expression, the one or more judgments being based on at least one context associated with at least one type. | 1. A method for defining declarative code according to a declarative programming model comprising a type system supporting type refinement and type membership, including: receiving a specification of at least one programming construct of a declarative programming language including receiving a specification of a type refinement construct that defines at least one type by specifying values for which a Boolean expression is true, and receiving, within a first expression of the type refinement construct, a specification of a type membership test construct that determines whether one or more resulting values of evaluating a second expression that is included in the first expression is a member of an indicated type; and generating a machine readable representation of code based on the specification of the at least one programming construct, one or more judgments associated with the type membership test being associated with the first expression, the one or more judgments being based on at least one context associated with at least one type. 7. The method of claim 1 , wherein the receiving of the specification of the at least one programming construct includes receiving a specification of an empty type for which no expressions satisfy conditions of the empty type. | 0.569206 |
1. A method of printing a plurality of documents based on a text, with alterations of phrases from one document to another in at least one phrase-inserting part of the text, comprising the steps of: storing into a phrase memory plural sets of phrase data representing plural different phrases to be inserted into the respective documents, said sets of phrase data being designated by respective phrase-indicating codes each consisting of at least one character the number of which is smaller than the number of characters constituting each of said plural different phrases; storing into a work memory at least one set of work data comprising selected plural ones of said phrase-indicating codes in such manner as to specify the order in which said phrase-indicating codes are read out, said work data being designated by a working-group code; storing into a text memory at least one set of text data representing a text of document, said text data including said working-group code at a position corresponding to said at least one phrase-inserting part of the text; printing out said text data to produce a first one of said plurality of documents, while upon reading of said working-group code, reading out from said phrase memory and printing out the first set of said phrase data designated by a first one of said phrase-indicating codes of said work data, so as to insert the first phrase into said at least one phrase-inserting part of the text of the first document; and printing out said text data to produce second and subsequent ones of said documents, while printing out second and subsequent sets of said phrase data which are designated by second and subsequent ones of said phrase-indicating codes of said work data, so as to insert the second and subsequent phrases into said at least one phrase-inserting part of the text of the second and subsequent documents. | 1. A method of printing a plurality of documents based on a text, with alterations of phrases from one document to another in at least one phrase-inserting part of the text, comprising the steps of: storing into a phrase memory plural sets of phrase data representing plural different phrases to be inserted into the respective documents, said sets of phrase data being designated by respective phrase-indicating codes each consisting of at least one character the number of which is smaller than the number of characters constituting each of said plural different phrases; storing into a work memory at least one set of work data comprising selected plural ones of said phrase-indicating codes in such manner as to specify the order in which said phrase-indicating codes are read out, said work data being designated by a working-group code; storing into a text memory at least one set of text data representing a text of document, said text data including said working-group code at a position corresponding to said at least one phrase-inserting part of the text; printing out said text data to produce a first one of said plurality of documents, while upon reading of said working-group code, reading out from said phrase memory and printing out the first set of said phrase data designated by a first one of said phrase-indicating codes of said work data, so as to insert the first phrase into said at least one phrase-inserting part of the text of the first document; and printing out said text data to produce second and subsequent ones of said documents, while printing out second and subsequent sets of said phrase data which are designated by second and subsequent ones of said phrase-indicating codes of said work data, so as to insert the second and subsequent phrases into said at least one phrase-inserting part of the text of the second and subsequent documents. 9. A method as recited in claim 1, further comprising the step of indicating alternately at predetermined intervals said working-group code, and a predetermined number of leading characters of said work data designated by said working-group code, when the working-group code is entered after the work data has been stored in the work memory. | 0.605492 |
27. The system of claim 22 , wherein the vertical position of the portion of text and the spacer element is defined by a top margin. | 27. The system of claim 22 , wherein the vertical position of the portion of text and the spacer element is defined by a top margin. 28. The system of claim 27 , wherein the offset is a negative value applied to the top margin. | 0.953185 |
7. The device according to claim 6 , wherein the error corrector is implemented to, in the case that the predetermined data word does not comprise the predetermined relation to the associated error identification value, calculate a sub-correction value based on each data word from the plurality of data words which is not the predetermined data word, link the sub-correction values to obtain an intermediate correction value, determine a reconstructed sub-correction value for the predetermined data word based on the intermediate correction value and the correction value, and correct the predetermined data word and the associated error identification value based on the reconstructed sub-correction value. | 7. The device according to claim 6 , wherein the error corrector is implemented to, in the case that the predetermined data word does not comprise the predetermined relation to the associated error identification value, calculate a sub-correction value based on each data word from the plurality of data words which is not the predetermined data word, link the sub-correction values to obtain an intermediate correction value, determine a reconstructed sub-correction value for the predetermined data word based on the intermediate correction value and the correction value, and correct the predetermined data word and the associated error identification value based on the reconstructed sub-correction value. 8. The device according to claim 7 , wherein the error corrector is implemented to perform, when calculating the sub-correction values, the calculation at first based on the data words and the associated error identification values to obtain the sub-correction value. | 0.686931 |
14. A computer program product for determining priority of a document, the computer program product comprising a non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising: computer readable program code configured to acquire contexts about each of a plurality of documents from each of the documents, wherein each of the contexts comprise dynamic information regarding one of the documents, the dynamic information comprising at least momentary changing of an operational state; computer readable program code configured to define one or more rules for calculating priority according to a combination of the acquired contexts; computer readable program code configured to calculate a priority for each of the documents according to the one or more rules; and computer readable program code configured to store the documents into at least two queues according to the priority of each document, wherein each of the queues is characterize as having a unique classification timing. | 14. A computer program product for determining priority of a document, the computer program product comprising a non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising: computer readable program code configured to acquire contexts about each of a plurality of documents from each of the documents, wherein each of the contexts comprise dynamic information regarding one of the documents, the dynamic information comprising at least momentary changing of an operational state; computer readable program code configured to define one or more rules for calculating priority according to a combination of the acquired contexts; computer readable program code configured to calculate a priority for each of the documents according to the one or more rules; and computer readable program code configured to store the documents into at least two queues according to the priority of each document, wherein each of the queues is characterize as having a unique classification timing. 20. The computer program product as recited in claim 14 , further comprising: computer readable program code configured to retrieve the plurality of documents from a predetermined queue; and computer readable program code configured to extract contact from each of the documents to serve as criterion for labeling thereof. | 0.657086 |
1. A memory management unit for communicating with a CPU and a memory of a computer system to control said CPU's right to access said memory in order to initiate performance of an operation, wherein the memory comprises a single address space, said memory management unit comprising; a plurality of domains, each individual domain corresponding to an address-oriented service and a set of addresses in the single address space of the memory, wherein each address in the single address space is only associated with one of the plurality of domains; a plurality of environments, wherein an environment controls access by an associated task to the plurality of domains; a translator coupled to receive a virtual address signal and an access type signal issued by said CPU during execution of a task, wherein said translator translates said virtual address signal into a physical address signal and issues said physical address signal to said memory in order to initiate performance of said operation, and wherein said translator issues a domain number signal that indicates one of said plurality of domains in which said virtual address resides based on said virtual address, and further wherein said translator determines if faults occur during translation of said virtual address and issues a first fault indication if one or more faults occur during translation of said virtual address; and an environment controller coupled to receive said domain number signal, wherein said environment controller permits access by said task to said one of said plurality of domains if said one of said plurality of domains is within a set of allowed domains, said environment controller issuing a second fault indication if said domain number signal does not correspond to an allowed domain number, such that said CPU's right to access said memory is denied if said first fault indication, said second fault indication, or both said first fault indication and said second fault indication are generated. | 1. A memory management unit for communicating with a CPU and a memory of a computer system to control said CPU's right to access said memory in order to initiate performance of an operation, wherein the memory comprises a single address space, said memory management unit comprising; a plurality of domains, each individual domain corresponding to an address-oriented service and a set of addresses in the single address space of the memory, wherein each address in the single address space is only associated with one of the plurality of domains; a plurality of environments, wherein an environment controls access by an associated task to the plurality of domains; a translator coupled to receive a virtual address signal and an access type signal issued by said CPU during execution of a task, wherein said translator translates said virtual address signal into a physical address signal and issues said physical address signal to said memory in order to initiate performance of said operation, and wherein said translator issues a domain number signal that indicates one of said plurality of domains in which said virtual address resides based on said virtual address, and further wherein said translator determines if faults occur during translation of said virtual address and issues a first fault indication if one or more faults occur during translation of said virtual address; and an environment controller coupled to receive said domain number signal, wherein said environment controller permits access by said task to said one of said plurality of domains if said one of said plurality of domains is within a set of allowed domains, said environment controller issuing a second fault indication if said domain number signal does not correspond to an allowed domain number, such that said CPU's right to access said memory is denied if said first fault indication, said second fault indication, or both said first fault indication and said second fault indication are generated. 10. A memory management unit as recited in claim 1, wherein said environment controller includes: a control register coupled to receive a data signal issued by said CPU and issuing a plurality of bits derived from said data signal; and a selector coupled to the control register and coupled to receive said domain number signal from said translator, wherein the selector selects a bit issued by said control register which corresponds to said domain number and issues said second fault indication so as to prevent initiation of performance of said operation if said bit selected by said selector indicates that said CPU is not allowed access to a domain corresponding to said domain number. | 0.644052 |
12. An article comprising a non-transitory machine-readable storage medium embodying instructions that when performed by one or more machines result in operations comprising: initiating a communication between a first user and a second user via a collaboration channel, the second user having an identification for the collaboration channel, the collaboration channel selected from a group consisting of: a telephone call, a Voice of Internet Protocol (VOIP) telephone call or an instant messaging session; automatically initiating a first service to associate the identification with a business entity and to obtain query parameters for the business entity in response to the initiation of the communication; automatically initiating a second service to retrieve contextual information associated with the business entity based on the obtained query parameters for the business entity; categorizing the retrieved contextual information into a plurality of categories; presenting the first user with a list of links for each of the categories. | 12. An article comprising a non-transitory machine-readable storage medium embodying instructions that when performed by one or more machines result in operations comprising: initiating a communication between a first user and a second user via a collaboration channel, the second user having an identification for the collaboration channel, the collaboration channel selected from a group consisting of: a telephone call, a Voice of Internet Protocol (VOIP) telephone call or an instant messaging session; automatically initiating a first service to associate the identification with a business entity and to obtain query parameters for the business entity in response to the initiation of the communication; automatically initiating a second service to retrieve contextual information associated with the business entity based on the obtained query parameters for the business entity; categorizing the retrieved contextual information into a plurality of categories; presenting the first user with a list of links for each of the categories. 13. An article as in claim 12 , wherein the non-transitory machine-readable storage medium further embodies instructions that when performed by one or more machines result in operations comprise: initiating a retrieval service in response to activation of one of the links to obtain documents or objects associated with the corresponding category for presentation to the first user. | 0.564901 |
10. A data processing system having at least one processor capable of providing an automatic response to a received user input, the system being programmed to automatically: (a) in response to receiving, from a user's device, a partial user input signifying a portion of an answerable statement, before receiving a full user input representing the entire answerable statement, calculate for each of a plurality of predefined answerable statements, a match metric denoting a degree to which the partial user input matches the predefined answerable statement; and (b) (1) if the match metric for one of the predefined answerable statements exceeds a first threshold, send, to the user's device, information representing a response associated with said one of the predefined answerable statements, and (2) if part (b)(1) does not apply but the match metric for at least one of the predefined answerable statements exceeds a second threshold, which second threshold is lower than the first threshold, send, to the user's device, information representing the corresponding at least one of the predefined answerable statements. | 10. A data processing system having at least one processor capable of providing an automatic response to a received user input, the system being programmed to automatically: (a) in response to receiving, from a user's device, a partial user input signifying a portion of an answerable statement, before receiving a full user input representing the entire answerable statement, calculate for each of a plurality of predefined answerable statements, a match metric denoting a degree to which the partial user input matches the predefined answerable statement; and (b) (1) if the match metric for one of the predefined answerable statements exceeds a first threshold, send, to the user's device, information representing a response associated with said one of the predefined answerable statements, and (2) if part (b)(1) does not apply but the match metric for at least one of the predefined answerable statements exceeds a second threshold, which second threshold is lower than the first threshold, send, to the user's device, information representing the corresponding at least one of the predefined answerable statements. 16. The data processing system of claim 10 wherein the system is further programmed, if no match metric exceeds the second threshold, to automatically send, to the user's device, a question asking for clarification of the answerable statement intended by the user. | 0.626071 |
18. A computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising: instructions for performing, via a processor, a first pass of entries in a database to generate a shortlist of the entries, the first pass comprising: utilizing a phonotactic grammar to perform speech recognition on received speech and to generate a phoneme lattice, wherein the utilizing ignores inter-field constraints of the phonotactic grammar; removing silence and filler words from the phoneme lattice to yield a revised phoneme lattice; normalizing costs in the revised phoneme lattice, to yield a normalized phoneme lattice with a best path having a cost of zero; identifying N-best lowest cost indices of an index for the database based on the normalized phoneme lattice; and generating the shortlist of the entries in the database based on the N-best lowest cost indices; and instructions for performing a second pass on the shortlist of the entries in the database to obtain a final result, the second pass comprising: generating a grammar from the shortlist of the entries in the database to yield a generated grammar, having inter-field constraints; and identifying data from the database for each of the input field based on the received speech, the generated grammar, and the inter-field constraints; and populating an input field of a form using the final result. | 18. A computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising: instructions for performing, via a processor, a first pass of entries in a database to generate a shortlist of the entries, the first pass comprising: utilizing a phonotactic grammar to perform speech recognition on received speech and to generate a phoneme lattice, wherein the utilizing ignores inter-field constraints of the phonotactic grammar; removing silence and filler words from the phoneme lattice to yield a revised phoneme lattice; normalizing costs in the revised phoneme lattice, to yield a normalized phoneme lattice with a best path having a cost of zero; identifying N-best lowest cost indices of an index for the database based on the normalized phoneme lattice; and generating the shortlist of the entries in the database based on the N-best lowest cost indices; and instructions for performing a second pass on the shortlist of the entries in the database to obtain a final result, the second pass comprising: generating a grammar from the shortlist of the entries in the database to yield a generated grammar, having inter-field constraints; and identifying data from the database for each of the input field based on the received speech, the generated grammar, and the inter-field constraints; and populating an input field of a form using the final result. 19. The computer-readable storage device of claim 18 , wherein the index is previously generated based on a plurality of training phoneme lattices and factors of interest from valid entries in the database, the factors of interest comprising trigrams, and wherein the database is a name/address database. | 0.524857 |
15. The non-transitory computer-readable medium of claim 14 , wherein the computer-executable module is further configured to: identify a second uncertain region in the item of textual content; identify a second region of the item of audio content that is preliminarily aligned to text of the second uncertain region; generate a textual transcription of the second region of the item of audio content; determine that the text of the second uncertain region does not substantially correspond to the text of the textual transcription of the second region of the item of audio content, convert the text of the second uncertain region to a first phoneme string; convert the text of the textual transcription of the second region of the item of audio content to a second phoneme string; determine that the first phoneme string substantially corresponds to the second phoneme string; and generate second content synchronization information wherein the second content synchronization information facilitates the synchronous presentation of the second uncertain region and the second region of the item of audio content. | 15. The non-transitory computer-readable medium of claim 14 , wherein the computer-executable module is further configured to: identify a second uncertain region in the item of textual content; identify a second region of the item of audio content that is preliminarily aligned to text of the second uncertain region; generate a textual transcription of the second region of the item of audio content; determine that the text of the second uncertain region does not substantially correspond to the text of the textual transcription of the second region of the item of audio content, convert the text of the second uncertain region to a first phoneme string; convert the text of the textual transcription of the second region of the item of audio content to a second phoneme string; determine that the first phoneme string substantially corresponds to the second phoneme string; and generate second content synchronization information wherein the second content synchronization information facilitates the synchronous presentation of the second uncertain region and the second region of the item of audio content. 16. The non-transitory computer-readable medium of claim 15 , wherein the first phoneme string substantially corresponds to the second phoneme string if the first phoneme string is within a threshold Levenshtein distance from the second phoneme string. | 0.704239 |
3. A non-transitory computer readable medium containing an executable program for recognizing an utterance spoken by a reader, where the program performs the steps of: receiving text comprising one or more words to be read by the reader; generating a grammar for speech recognition, in accordance with the text; inserting at least one reading learner grammar feature into the grammar, wherein the at least one reading learner grammar feature comprises a recognition of at least one reading learner mistake; receiving the utterance; interpreting the utterance in accordance with the grammar; and outputting feedback indicative of reader performance. | 3. A non-transitory computer readable medium containing an executable program for recognizing an utterance spoken by a reader, where the program performs the steps of: receiving text comprising one or more words to be read by the reader; generating a grammar for speech recognition, in accordance with the text; inserting at least one reading learner grammar feature into the grammar, wherein the at least one reading learner grammar feature comprises a recognition of at least one reading learner mistake; receiving the utterance; interpreting the utterance in accordance with the grammar; and outputting feedback indicative of reader performance. 6. The non-transitory computer readable medium of claim 3 , wherein the at least one reading learner mistake comprises at least one pronunciation mistake. | 0.563389 |
1. A computer storage media storing computer-executable instructions, which when executed perform actions, comprising: obtaining a first computer code encoded in a first computer programming language, the first computer code being translated from a second computer code encoded in a second computer language, the first computer programming language being a higher level language than the second computer language; via a user interface, receiving changes in the first computer programming language to the first computer code, the changes to the first computer code thereby creates a third computer code encoded in the first computer programming language and the changes include inserting helper computer code and new features to the first computer code; translating the third computer code encoded in the first computer programming language into a fourth computer code encoded in the second computer programming language; creating a delta that indicates changes in the second computer code of the second computer language by comparing the second computer code to the fourth computer code to identify changes in the second and fourth computer code encoded in the second programming language, the changes comprise actions that are to occur before, during, after, or instead of actions indicated by the first computer code; and linking an application to the fourth computer code to access the new features, the linking comprising: receiving, at the helper computer code from the application, a call to access a new feature, the helper computer code includes application programming interfaces (API) that correspond to each respective new feature; and in response to the access call, the helper code using the delta to determine which feature's API to invoke for the requesting application without causing the application to be rebuilt. | 1. A computer storage media storing computer-executable instructions, which when executed perform actions, comprising: obtaining a first computer code encoded in a first computer programming language, the first computer code being translated from a second computer code encoded in a second computer language, the first computer programming language being a higher level language than the second computer language; via a user interface, receiving changes in the first computer programming language to the first computer code, the changes to the first computer code thereby creates a third computer code encoded in the first computer programming language and the changes include inserting helper computer code and new features to the first computer code; translating the third computer code encoded in the first computer programming language into a fourth computer code encoded in the second computer programming language; creating a delta that indicates changes in the second computer code of the second computer language by comparing the second computer code to the fourth computer code to identify changes in the second and fourth computer code encoded in the second programming language, the changes comprise actions that are to occur before, during, after, or instead of actions indicated by the first computer code; and linking an application to the fourth computer code to access the new features, the linking comprising: receiving, at the helper computer code from the application, a call to access a new feature, the helper computer code includes application programming interfaces (API) that correspond to each respective new feature; and in response to the access call, the helper code using the delta to determine which feature's API to invoke for the requesting application without causing the application to be rebuilt. 3. The computer storage media of claim 1 , wherein the first computer code being translated from second computer code comprises the first computer code being decompiled from the second computer code. | 0.664252 |
8. A system comprising: at least one computing device, each computing device comprising a processor and a storage medium for tangibly storing thereon program logic for execution by the processor, the stored program logic comprising: receiving logic executed by the processor for receiving an electronic messaging search request to search at least one electronic data store comprising different types of items including a message item type, the search request comprising a user's search query; identifying logic executed by the processor for identifying a plurality of search intents for the search query using the search query, each search intent corresponding to an item type; generating logic executed by the processor for generating a plurality of search result lists by performing a plurality of searches of the at least one electronic data store, each search of the plurality of searches generating a search result list of items having the item type corresponding to a search intent of the plurality of search intents and identifying a relevance score for each search result item in the search intent's search result list, the search result item's relevance score indicating the search result item's relevance to the search query; generating logic executed by the processor for generating, for each search intent of the plurality of search intents, a search intent score using the search intent's search result list; generating logic executed by the processor for generating a plurality of candidate scores, each candidate score corresponding to a search result item included in a search result list of the plurality of search result lists, each search result item's candidate score is generated using the search result item's relevance score and the search intent score of the search intent corresponding to the search result item's search result list; selecting logic executed by the processor for selecting one or more top search result items using the generated candidate scores, each of the one or more top search result items having a better candidate score than unselected search result items; and generating logic executed by the processor for generating a search results presentation for display at the user's client device, the search results presentation comprising a presentation of the one or more top search result items. | 8. A system comprising: at least one computing device, each computing device comprising a processor and a storage medium for tangibly storing thereon program logic for execution by the processor, the stored program logic comprising: receiving logic executed by the processor for receiving an electronic messaging search request to search at least one electronic data store comprising different types of items including a message item type, the search request comprising a user's search query; identifying logic executed by the processor for identifying a plurality of search intents for the search query using the search query, each search intent corresponding to an item type; generating logic executed by the processor for generating a plurality of search result lists by performing a plurality of searches of the at least one electronic data store, each search of the plurality of searches generating a search result list of items having the item type corresponding to a search intent of the plurality of search intents and identifying a relevance score for each search result item in the search intent's search result list, the search result item's relevance score indicating the search result item's relevance to the search query; generating logic executed by the processor for generating, for each search intent of the plurality of search intents, a search intent score using the search intent's search result list; generating logic executed by the processor for generating a plurality of candidate scores, each candidate score corresponding to a search result item included in a search result list of the plurality of search result lists, each search result item's candidate score is generated using the search result item's relevance score and the search intent score of the search intent corresponding to the search result item's search result list; selecting logic executed by the processor for selecting one or more top search result items using the generated candidate scores, each of the one or more top search result items having a better candidate score than unselected search result items; and generating logic executed by the processor for generating a search results presentation for display at the user's client device, the search results presentation comprising a presentation of the one or more top search result items. 9. The system of claim 8 , the identifying logic executed by the processor for identifying a plurality of search intents further comprising: identifying logic executed by the processor for identifying a plurality of possible interpretations of the search query; and filtering logic executed by the processor for filtering the plurality of possible interpretations of the search query to identify a plurality of selected interpretations of the search query using information from the at least one electronic messaging data store associated with the user, each selected interpretation corresponding to a search intent of the plurality of search intents. | 0.572137 |
15. A method of managing data for incorporation into content, the data described in a plurality of data models changeable over time, the method comprising: describing the data models in an ontology; providing a structure for the content using a semantic-independent schema that does not model the subject matter of the data; including in the content structure one or more data-centric components transformable to relate semantically to the ontology and configured to allow semantic-independent implementation of the content structure; transforming and semantically relating the one or more data-centric components to the ontology, the transforming and semantically relating performed using a validation schema derived from the ontology; and validating the transformed components relative to the ontology to validate the content. | 15. A method of managing data for incorporation into content, the data described in a plurality of data models changeable over time, the method comprising: describing the data models in an ontology; providing a structure for the content using a semantic-independent schema that does not model the subject matter of the data; including in the content structure one or more data-centric components transformable to relate semantically to the ontology and configured to allow semantic-independent implementation of the content structure; transforming and semantically relating the one or more data-centric components to the ontology, the transforming and semantically relating performed using a validation schema derived from the ontology; and validating the transformed components relative to the ontology to validate the content. 18. The method of claim 15 , further comprising generating a report of results of the validating. | 0.56383 |
5. A method comprising: receiving an image file representing an image comprising text; determining, by a processing device, a plurality of portions of the image respectively corresponding to a plurality of letters of the text; determining, for a first letter of the plurality of letters, a set of letter properties comprising at least one dependent letter property and at least one independent letter property, wherein each of the at least one dependent letter property of the first letter is dependent on another letter of the plurality of letters and each of the at least one independent letter property of the first letter is independent of all other letters of the plurality of letters; and classifying the first letter into one of a plurality of letterform classes based on the set of letter properties. | 5. A method comprising: receiving an image file representing an image comprising text; determining, by a processing device, a plurality of portions of the image respectively corresponding to a plurality of letters of the text; determining, for a first letter of the plurality of letters, a set of letter properties comprising at least one dependent letter property and at least one independent letter property, wherein each of the at least one dependent letter property of the first letter is dependent on another letter of the plurality of letters and each of the at least one independent letter property of the first letter is independent of all other letters of the plurality of letters; and classifying the first letter into one of a plurality of letterform classes based on the set of letter properties. 8. The method of claim 5 , wherein the at least one independent letter property comprises at least one of a vertical histogram or a horizontal histogram. | 0.827791 |
1. A computer implemented system for identifying significant speech frames within speech signals for facilitating speech recognition, said system comprising: a memory configured to store instructions and data; a processor configured to receive said instructions and data from said memory; an input module configured to accept at least an input speech signal, wherein the speech signal is represented by a plurality of feature vectors; a spectrum analyzer cooperating with said input module to receive the input speech signal, said spectrum analyzer comprises a divider configured to divide the input speech signal into a plurality of speech frames, said spectrum analyzer further configured to compute a spectral magnitude of each of the speech frames; an extractor cooperating with said spectrum analyzer to receive said speech frames, and configured to extract at least a feature vector from each of the speech frames; a suitability engine, of said computer, cooperating with the spectrum analyzer to receive the spectral magnitude of each of the speech frames and configured to compute a suitability measure for said speech frames, said suitability engine of said computer comprises: a spectral flatness module configured to receive the spectral magnitude of each of the speech frames and compute a spectral flatness measure to determine suitability measure for each of said speech frames; an energy normalized variance module configured to receive the spectral magnitude of each of the said speech frames and compute an energy normalized variance to determine suitability measure for each of said speech frames; an entropy module configured to receive the spectral magnitude of each of the said speech frames and compute entropy to determine a suitability measure for each of said speech frames; a signal-to-noise ratio module configured to receive the spectral magnitude of each of the said speech frames and compute a frame level signal-to-noise ratio to determine suitability measure for each of said speech frames; a similarity measure module configured to receive the spectral magnitude of each of the said speech frames and compute a similarity measure to determine suitability measure for each of said speech frames; a final suitability measure module configured to receive from the spectral flatness module, the energy normalized variance module, the entropy module, the signal-to-noise ratio module and the similarity measure module, the computed suitability measure based on the spectral flatness measure, the energy normalized variance, the entropy, the frame level signal-to-noise ratio and the similarity measure of each of said speech frames respectively, and configured to compute a final suitability measure for each of said speech frames; and a frame weight assigner, of said computer, cooperating with the spectrum analyzer to receive the spectral magnitude of each of said speech frames and the final suitability measure module provided in the suitability engine, of said computer, to receive the final suitability measure of each of said speech frames, and configured to compute weight for each of said speech frames to identify significant speech frames based on the spectral magnitude and the final suitability measure of respective speech frame. | 1. A computer implemented system for identifying significant speech frames within speech signals for facilitating speech recognition, said system comprising: a memory configured to store instructions and data; a processor configured to receive said instructions and data from said memory; an input module configured to accept at least an input speech signal, wherein the speech signal is represented by a plurality of feature vectors; a spectrum analyzer cooperating with said input module to receive the input speech signal, said spectrum analyzer comprises a divider configured to divide the input speech signal into a plurality of speech frames, said spectrum analyzer further configured to compute a spectral magnitude of each of the speech frames; an extractor cooperating with said spectrum analyzer to receive said speech frames, and configured to extract at least a feature vector from each of the speech frames; a suitability engine, of said computer, cooperating with the spectrum analyzer to receive the spectral magnitude of each of the speech frames and configured to compute a suitability measure for said speech frames, said suitability engine of said computer comprises: a spectral flatness module configured to receive the spectral magnitude of each of the speech frames and compute a spectral flatness measure to determine suitability measure for each of said speech frames; an energy normalized variance module configured to receive the spectral magnitude of each of the said speech frames and compute an energy normalized variance to determine suitability measure for each of said speech frames; an entropy module configured to receive the spectral magnitude of each of the said speech frames and compute entropy to determine a suitability measure for each of said speech frames; a signal-to-noise ratio module configured to receive the spectral magnitude of each of the said speech frames and compute a frame level signal-to-noise ratio to determine suitability measure for each of said speech frames; a similarity measure module configured to receive the spectral magnitude of each of the said speech frames and compute a similarity measure to determine suitability measure for each of said speech frames; a final suitability measure module configured to receive from the spectral flatness module, the energy normalized variance module, the entropy module, the signal-to-noise ratio module and the similarity measure module, the computed suitability measure based on the spectral flatness measure, the energy normalized variance, the entropy, the frame level signal-to-noise ratio and the similarity measure of each of said speech frames respectively, and configured to compute a final suitability measure for each of said speech frames; and a frame weight assigner, of said computer, cooperating with the spectrum analyzer to receive the spectral magnitude of each of said speech frames and the final suitability measure module provided in the suitability engine, of said computer, to receive the final suitability measure of each of said speech frames, and configured to compute weight for each of said speech frames to identify significant speech frames based on the spectral magnitude and the final suitability measure of respective speech frame. 3. The system as claimed in claim 1 , wherein said similarity measure module is further configured to accept at least a pre-trained speech model and at least a pre-trained noise model to compute a similarity measure. | 0.581919 |
1. A non-transitory computer readable storage medium having computer executable instructions stored thereon that, when executed by a computer, cause the computer to: receive a plurality of search criteria corresponding to a plurality of user searches for products offered for sale over a computer network, wherein each search criterion of the plurality of search criteria corresponds to a search criterion utilized in a user search of the plurality of user searches; receive information related to browsing activity of users responsive to search results of the plurality of user searches; for each search criterion of the plurality of search criteria, generate a search criterion map mapping the search criterion to a set of products, wherein the set of products are determined based at least in part on the browsing activity of a user responsive to the search results corresponding to the search criterion, wherein each search criterion map is associated with a user group of a plurality of user groups and references one or more products associated with each search criterion, and wherein each user group is defined according to at least one attribute associated with each user included in the user group; for each product referenced by at least one of the generated search criterion maps: determine, based at least in part on the generated search criterion maps, one or more search criteria associated with the product; and generate a product map mapping the product to the one or more search criteria associated with the product as identified within at least one of the generated search criterion maps; and generate, for display to a user, a web page for a first product referenced by at least one of the generated search criterion maps, wherein the web page includes at least one search criterion of the one or more search criteria associated with the first product by a product map corresponding to the first product, wherein the at least one search criterion is inserted into the web page, and wherein the web page is generated based at least in part on the product map corresponding to the first product. | 1. A non-transitory computer readable storage medium having computer executable instructions stored thereon that, when executed by a computer, cause the computer to: receive a plurality of search criteria corresponding to a plurality of user searches for products offered for sale over a computer network, wherein each search criterion of the plurality of search criteria corresponds to a search criterion utilized in a user search of the plurality of user searches; receive information related to browsing activity of users responsive to search results of the plurality of user searches; for each search criterion of the plurality of search criteria, generate a search criterion map mapping the search criterion to a set of products, wherein the set of products are determined based at least in part on the browsing activity of a user responsive to the search results corresponding to the search criterion, wherein each search criterion map is associated with a user group of a plurality of user groups and references one or more products associated with each search criterion, and wherein each user group is defined according to at least one attribute associated with each user included in the user group; for each product referenced by at least one of the generated search criterion maps: determine, based at least in part on the generated search criterion maps, one or more search criteria associated with the product; and generate a product map mapping the product to the one or more search criteria associated with the product as identified within at least one of the generated search criterion maps; and generate, for display to a user, a web page for a first product referenced by at least one of the generated search criterion maps, wherein the web page includes at least one search criterion of the one or more search criteria associated with the first product by a product map corresponding to the first product, wherein the at least one search criterion is inserted into the web page, and wherein the web page is generated based at least in part on the product map corresponding to the first product. 12. The non-transitory computer readable storage medium of claim 1 , wherein each search criterion is associated with one or more web pages based on a received association indicator. | 0.54358 |
8. A method of diagnosing computing system performance, comprising: receiving operational data from an analyzed computing system; identifying an operational pattern based on the operational data from the analyzed computing system, the operational pattern including a temporal sequence of operations, events, or system states related to the analyzed computing system; receiving an annotation and associating the received annotation with the identified operational pattern, the annotation identifying a reason, a cause, or a corrective suggestion corresponding to a violation of the temporal sequence; and providing, to a diagnostic system, the operational pattern with the associated annotation for diagnosing performance of the analyzed computing system; receiving additional operational data from a monitored computing system; and in response to identifying, in the additional operational data received from the monitored computing system, the violation of the temporal sequence, providing, by the diagnostic system, data representing the annotation identifying a reason, a cause, or a corrective suggestion corresponding to the violation of the temporal sequence. | 8. A method of diagnosing computing system performance, comprising: receiving operational data from an analyzed computing system; identifying an operational pattern based on the operational data from the analyzed computing system, the operational pattern including a temporal sequence of operations, events, or system states related to the analyzed computing system; receiving an annotation and associating the received annotation with the identified operational pattern, the annotation identifying a reason, a cause, or a corrective suggestion corresponding to a violation of the temporal sequence; and providing, to a diagnostic system, the operational pattern with the associated annotation for diagnosing performance of the analyzed computing system; receiving additional operational data from a monitored computing system; and in response to identifying, in the additional operational data received from the monitored computing system, the violation of the temporal sequence, providing, by the diagnostic system, data representing the annotation identifying a reason, a cause, or a corrective suggestion corresponding to the violation of the temporal sequence. 12. The method of claim 8 wherein: receiving the operational data from the analyzed computing system includes receiving event logs from the analyzed computing system operating under normal conditions; and identifying the operational pattern includes: parsing the event logs based on keywords; identifying a temporal sequence of events based on the parsed event logs; and identifying a time interval between a pair of the events of the temporal sequence. | 0.698276 |
1. An electronic system configured to perform speech processing comprising: an audio detection system configured to receive a signal including speech; a memory having stored therein a database of keyword models forming an ensemble of filters associated with each keyword in the database; a processor configured to: i) receive the signal including speech from the audio detection system; ii) decompose the signal including speech into a sparse set of phonetic impulses; iii) access the database of keywords and convolve the sparse set of phonetic impulses with the ensemble of filters; iv) identify keywords within the signal including speech based on iii); and v) control operation the electronic system based on the keywords identified in iv). | 1. An electronic system configured to perform speech processing comprising: an audio detection system configured to receive a signal including speech; a memory having stored therein a database of keyword models forming an ensemble of filters associated with each keyword in the database; a processor configured to: i) receive the signal including speech from the audio detection system; ii) decompose the signal including speech into a sparse set of phonetic impulses; iii) access the database of keywords and convolve the sparse set of phonetic impulses with the ensemble of filters; iv) identify keywords within the signal including speech based on iii); and v) control operation the electronic system based on the keywords identified in iv). 3. The system of claim 1 wherein the processor is further configured to generate a representation of speech as a sparse set of temporal phonetic events in response to the signal including speech in ii). | 0.619606 |
1. A method, comprising: clustering a plurality of documents to obtain one or more first sets of clusters, wherein a first cluster of the one or more first sets of clusters comprises at least two first individual documents of the plurality of documents; accessing a search query after the clustering the plurality of documents; identifying a search result in response to the search query, wherein the search result comprises the at least two first individual documents of the plurality of documents; and clustering the search result to obtain a second set of clusters, wherein second individual documents of the search result belong to one second cluster of the second set of clusters, the clustering the search result comprising: for a unique pair of the second individual documents, computing a similarity measure for the second individual documents with respect to the search query based, at least in part, on the one or more first sets of clusters, wherein the similarity measure for the second individual documents is computed based, at least in part, on a weighted sum of a clustering similarity between the second individual documents with respect to the one or more first sets of clusters and a query-based similarity between the second individual documents with respect to the search query; and clustering the second individual documents based, at least in part, on the similarity measure; wherein the query-based similarity between the second individual documents is based, at least in part, on a fraction of a sum of: a textual match between the search query and the second individual documents to the textual match between the query, and the intersection of the documents; and wherein the clustering similarity between the second individual documents with respect to the one or more first sets of clusters is based, at least in part, on a weighted combination of agreements between the one or more first sets of clusters and the second individual documents. | 1. A method, comprising: clustering a plurality of documents to obtain one or more first sets of clusters, wherein a first cluster of the one or more first sets of clusters comprises at least two first individual documents of the plurality of documents; accessing a search query after the clustering the plurality of documents; identifying a search result in response to the search query, wherein the search result comprises the at least two first individual documents of the plurality of documents; and clustering the search result to obtain a second set of clusters, wherein second individual documents of the search result belong to one second cluster of the second set of clusters, the clustering the search result comprising: for a unique pair of the second individual documents, computing a similarity measure for the second individual documents with respect to the search query based, at least in part, on the one or more first sets of clusters, wherein the similarity measure for the second individual documents is computed based, at least in part, on a weighted sum of a clustering similarity between the second individual documents with respect to the one or more first sets of clusters and a query-based similarity between the second individual documents with respect to the search query; and clustering the second individual documents based, at least in part, on the similarity measure; wherein the query-based similarity between the second individual documents is based, at least in part, on a fraction of a sum of: a textual match between the search query and the second individual documents to the textual match between the query, and the intersection of the documents; and wherein the clustering similarity between the second individual documents with respect to the one or more first sets of clusters is based, at least in part, on a weighted combination of agreements between the one or more first sets of clusters and the second individual documents. 6. The method recited in claim 1 , further comprising presenting the second individual documents of the search result according to the second set of clusters. | 0.636538 |
2. The storage medium of claim 1 further comprising instructions that upon execution cause the processor to store the name equivalents and corresponding rejection in a database. | 2. The storage medium of claim 1 further comprising instructions that upon execution cause the processor to store the name equivalents and corresponding rejection in a database. 3. The storage medium of claim 2 further comprising instructions that upon execution cause the processor to modify at least one of the plurality of rules based on the contents of the database. | 0.908272 |
1. A computer-based method for extending attributes for a predictive analysis engine, comprising: maintaining a database table for a database entity, the database table corresponding to a metadata schema that defines one or more original attribute columns and one or more unused extension columns for the database entity, the one or more unused extension columns providing extensibility of the database entity for a new attribute not defined in the one or more original attribute columns of the database entity; receiving from an interface a definition of the new attribute for the database entity; modifying, using a server computer system, a first version of the database entity to a second version of the database entity, the second version of the database entity comprising the new attribute that does not exist in the first version by: reviewing the one or more unused extension columns for the first version of the database entity, identifying an unused extension column from among the one or more unused extension columns for the first version of the database entity, and editing the metadata schema for the database table to map the identified unused extension column to the new attribute to generate the second version of the database entity; identifying the new attribute to a business intelligence server, wherein a mapping is performed in the business intelligence server to correlate a logical representation of the database entity to the metadata schema of the database table for the second version of the database entity to create database queries to include the new attribute; modifying a user interface of the predictive analysis engine to recognize the new attribute for the database entity; interfacing with the predictive analysis engine to perform predictive analysis using the new attribute and data for the new attribute retrieved with the database queries created in the business intelligence server; and using the predictive analysis engine to generate recommendations based at least in part on the new attribute by using one or more new rules or one or more new models, wherein the one or more new rules and the one or more new models comprise the new attribute. | 1. A computer-based method for extending attributes for a predictive analysis engine, comprising: maintaining a database table for a database entity, the database table corresponding to a metadata schema that defines one or more original attribute columns and one or more unused extension columns for the database entity, the one or more unused extension columns providing extensibility of the database entity for a new attribute not defined in the one or more original attribute columns of the database entity; receiving from an interface a definition of the new attribute for the database entity; modifying, using a server computer system, a first version of the database entity to a second version of the database entity, the second version of the database entity comprising the new attribute that does not exist in the first version by: reviewing the one or more unused extension columns for the first version of the database entity, identifying an unused extension column from among the one or more unused extension columns for the first version of the database entity, and editing the metadata schema for the database table to map the identified unused extension column to the new attribute to generate the second version of the database entity; identifying the new attribute to a business intelligence server, wherein a mapping is performed in the business intelligence server to correlate a logical representation of the database entity to the metadata schema of the database table for the second version of the database entity to create database queries to include the new attribute; modifying a user interface of the predictive analysis engine to recognize the new attribute for the database entity; interfacing with the predictive analysis engine to perform predictive analysis using the new attribute and data for the new attribute retrieved with the database queries created in the business intelligence server; and using the predictive analysis engine to generate recommendations based at least in part on the new attribute by using one or more new rules or one or more new models, wherein the one or more new rules and the one or more new models comprise the new attribute. 3. The method of claim 1 , wherein the one or more new models are created by: selecting one or more attributes for the database entity for training, wherein the selected attributes for the database entity comprise the new attribute for the database entity; training one or more models using the selected attributes for the database entity; and analyzing the one or more trained models. | 0.560265 |
11. The medium of claim 8 , wherein the medium further holds instructions for receiving an indication of the plurality of entities. | 11. The medium of claim 8 , wherein the medium further holds instructions for receiving an indication of the plurality of entities. 12. The medium of claim 11 , wherein the medium further holds instructions for receiving a selection from a user of the plurality of entities. | 0.892638 |
3. The apparatus according to claim 1 , further comprising a search unit configured to conduct a refined search for the document set using a keyword selected from keywords presented by the presentation unit, and to obtain a partial document set, and wherein the clustering unit calculates the statistical correlation degrees between the basic terms based on the partial document set, calculates the conceptual correlation degrees between the basic terms based on the general concept dictionary, and re-clusters the basic terms based on the weighted sums, the second selection unit re-selects keywords of respective clusters from the basic terms and the technical terms based on a re-clustering result of the basic terms, and the presentation unit presents the re-selected keywords. | 3. The apparatus according to claim 1 , further comprising a search unit configured to conduct a refined search for the document set using a keyword selected from keywords presented by the presentation unit, and to obtain a partial document set, and wherein the clustering unit calculates the statistical correlation degrees between the basic terms based on the partial document set, calculates the conceptual correlation degrees between the basic terms based on the general concept dictionary, and re-clusters the basic terms based on the weighted sums, the second selection unit re-selects keywords of respective clusters from the basic terms and the technical terms based on a re-clustering result of the basic terms, and the presentation unit presents the re-selected keywords. 5. The apparatus according to claim 3 , wherein the presentation unit decides priority levels of respective documents included in the partial document set using a previously selected keyword, and presents information associated with respective documents included in the partial document set according to the priority levels. | 0.890054 |
1. A method of generating annotated training data to train a natural language understanding (NLU) system having one or more models, comprising: generating a proposed annotation with the NLU system for each of one or more units of unannotated training data; displaying the proposed annotations for user verification or correction to obtain a user-confirmed annotation; and training the NLU system with the user-confirmed annotation; and displaying an indication of a volume of training data used to train a plurality of different portions of the one or more models of the natural language understanding system; wherein displaying the proposed annotations for user verification or correction comprises: receiving a user input indicative of a user-identified portion of the proposed annotation; and displaying a plurality of alternative proposed annotations for the user-identified portion; wherein the one or more models impose model constraints and wherein displaying the one or more alternative proposed annotations comprises displaying an alternative proposed annotation for the user-identified portion of data only if the alternative proposed annotation can lead to an overall annotation for the unit that is consistent with the model constraints; wherein the proposed annotation includes parent and child nodes and wherein displaying a plurality of alternative proposed annotations includes displaying a user actuable delete node input which, when actuated, deletes a child node, and a user actuable add node input which, when actuated, adds a child node, and displaying the plurality of alternative proposed annotations in response to a user deleting a child node associated with the user-identified portion of data; wherein displaying a plurality of alternative proposed annotations comprises displaying a portion of the unit of data not covered by the proposed annotation, and displaying a plurality of alternative proposed annotations for the portion of data not covered by the proposed annotation; wherein the user is enabled to select a segment of the portion of data not covered by the proposed annotation and wherein displaying alternative proposed annotations comprises displaying a plurality of one or more alternative proposed annotations for the user-selected segment; and wherein the user is enabled to select one of the alternative proposed annotations from among the plurality of alternative proposed annotations, and the user-selected alternative proposed annotation is incorporated into the annotated training data. | 1. A method of generating annotated training data to train a natural language understanding (NLU) system having one or more models, comprising: generating a proposed annotation with the NLU system for each of one or more units of unannotated training data; displaying the proposed annotations for user verification or correction to obtain a user-confirmed annotation; and training the NLU system with the user-confirmed annotation; and displaying an indication of a volume of training data used to train a plurality of different portions of the one or more models of the natural language understanding system; wherein displaying the proposed annotations for user verification or correction comprises: receiving a user input indicative of a user-identified portion of the proposed annotation; and displaying a plurality of alternative proposed annotations for the user-identified portion; wherein the one or more models impose model constraints and wherein displaying the one or more alternative proposed annotations comprises displaying an alternative proposed annotation for the user-identified portion of data only if the alternative proposed annotation can lead to an overall annotation for the unit that is consistent with the model constraints; wherein the proposed annotation includes parent and child nodes and wherein displaying a plurality of alternative proposed annotations includes displaying a user actuable delete node input which, when actuated, deletes a child node, and a user actuable add node input which, when actuated, adds a child node, and displaying the plurality of alternative proposed annotations in response to a user deleting a child node associated with the user-identified portion of data; wherein displaying a plurality of alternative proposed annotations comprises displaying a portion of the unit of data not covered by the proposed annotation, and displaying a plurality of alternative proposed annotations for the portion of data not covered by the proposed annotation; wherein the user is enabled to select a segment of the portion of data not covered by the proposed annotation and wherein displaying alternative proposed annotations comprises displaying a plurality of one or more alternative proposed annotations for the user-selected segment; and wherein the user is enabled to select one of the alternative proposed annotations from among the plurality of alternative proposed annotations, and the user-selected alternative proposed annotation is incorporated into the annotated training data. 14. The method of claim 1 wherein displaying the proposed annotations comprises: sorting the proposed annotations based on type of annotation. | 0.524559 |
1. A method for optimizing sentiment classification, the method comprising: performing, by a sentiment management computing device, a classification analysis on a first post received for sentiment evaluation to determine a first sentiment classification; receiving, by the sentiment management computing device, a second sentiment classification related to the first post from at least one user; and updating, by the sentiment management computing device, the classification analysis when the first sentiment classification does not match the second sentiment classification, wherein the updating the sentiment classification analysis comprises: plotting the first post in a multidimensional feature space, wherein each dimension in the multidimensional feature space represents a unique feature corresponding to the first post; performing a neighborhood operation for the first post to identify a pattern space in the multidimensional feature space containing a plurality of posts associated with the first post; and applying the second sentiment classification to the plurality of posts in the pattern space, wherein the plurality of posts in the pattern space provide updated training data for the classification analysis. | 1. A method for optimizing sentiment classification, the method comprising: performing, by a sentiment management computing device, a classification analysis on a first post received for sentiment evaluation to determine a first sentiment classification; receiving, by the sentiment management computing device, a second sentiment classification related to the first post from at least one user; and updating, by the sentiment management computing device, the classification analysis when the first sentiment classification does not match the second sentiment classification, wherein the updating the sentiment classification analysis comprises: plotting the first post in a multidimensional feature space, wherein each dimension in the multidimensional feature space represents a unique feature corresponding to the first post; performing a neighborhood operation for the first post to identify a pattern space in the multidimensional feature space containing a plurality of posts associated with the first post; and applying the second sentiment classification to the plurality of posts in the pattern space, wherein the plurality of posts in the pattern space provide updated training data for the classification analysis. 7. The method as set forth in claim 1 further comprising: receiving, by the sentiment management computing device, a strength indication of the second sentiment classification from the user; performing, by the sentiment management computing device, the neighborhood operation based on the strength indication. | 0.505303 |
1. A method to identify regions, the method comprising: receiving an image of a scene of real world; creating a plurality of sets of positions automatically, by at least performing comparisons using multiple pluralities of pixels hereinafter compared pixels that are located in the image at corresponding positions comprised in the plurality of sets of positions; wherein a first set in the plurality of sets of positions is created without using in any comparison, a plurality of pixels hereinafter skipped pixels that are located in the image at additional positions comprised in the first set; wherein a first region identified by the first set is contiguous in the image, the first region comprising the compared pixels and the skipped pixels identified respectively by the corresponding positions and the additional positions; wherein a second region is contiguous in the image, the second region being identified by positions in a second set, in the plurality of sets of positions created by the creating; checking automatically, whether a test is satisfied by a first attribute of the first region and a second attribute of the second region; preparing automatically, a merged set comprising the positions in the first set and the positions in the second set, based on at least an outcome of said test; and storing automatically, in one or more memories, the merged set; wherein the receiving, the creating, the checking, the preparing and the storing are performed by one or more processors coupled to the one or more memories. | 1. A method to identify regions, the method comprising: receiving an image of a scene of real world; creating a plurality of sets of positions automatically, by at least performing comparisons using multiple pluralities of pixels hereinafter compared pixels that are located in the image at corresponding positions comprised in the plurality of sets of positions; wherein a first set in the plurality of sets of positions is created without using in any comparison, a plurality of pixels hereinafter skipped pixels that are located in the image at additional positions comprised in the first set; wherein a first region identified by the first set is contiguous in the image, the first region comprising the compared pixels and the skipped pixels identified respectively by the corresponding positions and the additional positions; wherein a second region is contiguous in the image, the second region being identified by positions in a second set, in the plurality of sets of positions created by the creating; checking automatically, whether a test is satisfied by a first attribute of the first region and a second attribute of the second region; preparing automatically, a merged set comprising the positions in the first set and the positions in the second set, based on at least an outcome of said test; and storing automatically, in one or more memories, the merged set; wherein the receiving, the creating, the checking, the preparing and the storing are performed by one or more processors coupled to the one or more memories. 6. The method of claim 1 wherein: comparisons performed by said performing are between an intensity i used as a threshold and the intensity of each pixel included in a region Qi among the first region and the second region; said region Qi comprises a local extrema in said image; and said region Qi is maximally stable relative to changes in a range i−Δ to i+Δ, with a local minima in ratio [Qi−Δ−Qi+Δ]/Qi occurring at the intensity i. | 0.572057 |
1. A method comprising: receiving, by a processing device, a search query from a remote device, wherein the search query includes one or more query terms; generating, by the processing device, a collection of one or more analyzed tokens based on the search query, wherein the collection of one or more analyzed tokens indicates at least a subset of the one or more query terms; analyzing, by the processing device, the collection of one or more analyzed tokens with a plurality of different parsers, wherein: each parser of the plurality of different parsers is configured to (i) according to a parsing operation specific to the parser, parse at least one of (a) the collection of one or more analyzed tokens and (b) the search query and (ii) output parsed query that includes a list of one or more parsed tokens, each of the parsed tokens includes a corresponding string, and at least one parsed token of at least one of the parsed queries includes one or more properties of the corresponding string; generating, by the processing device, a retrieval query based on the parsed queries output by the plurality of different parsers, wherein: the retrieval query is a data structure that includes a plurality of retrieval leaf nodes, and each retrieval leaf node of the plurality of retrieval leaf nodes stores at least one of (i) a property of a string from a respective one of the parsed tokens and (ii) the string from the respective one of the parsed tokens; identifying, by the processing device, a consideration set of records based on the plurality of retrieval leaf nodes, wherein each record of the consideration set of records includes state data related to at least one of (i) a function of a corresponding application and (ii) a state of the corresponding application resulting from performing the function; determining, by the processing device, for each record in the consideration set of records, a result score for the record, wherein the result score for the record is determined based on a matching between the retrieval leaf node and the state data of the record; generating, by the processing device, search results based on a subset of the consideration set of records, wherein the subset is selected based on the result scores of the consideration set of records; and providing, by the processing device, the search results to the remote device. | 1. A method comprising: receiving, by a processing device, a search query from a remote device, wherein the search query includes one or more query terms; generating, by the processing device, a collection of one or more analyzed tokens based on the search query, wherein the collection of one or more analyzed tokens indicates at least a subset of the one or more query terms; analyzing, by the processing device, the collection of one or more analyzed tokens with a plurality of different parsers, wherein: each parser of the plurality of different parsers is configured to (i) according to a parsing operation specific to the parser, parse at least one of (a) the collection of one or more analyzed tokens and (b) the search query and (ii) output parsed query that includes a list of one or more parsed tokens, each of the parsed tokens includes a corresponding string, and at least one parsed token of at least one of the parsed queries includes one or more properties of the corresponding string; generating, by the processing device, a retrieval query based on the parsed queries output by the plurality of different parsers, wherein: the retrieval query is a data structure that includes a plurality of retrieval leaf nodes, and each retrieval leaf node of the plurality of retrieval leaf nodes stores at least one of (i) a property of a string from a respective one of the parsed tokens and (ii) the string from the respective one of the parsed tokens; identifying, by the processing device, a consideration set of records based on the plurality of retrieval leaf nodes, wherein each record of the consideration set of records includes state data related to at least one of (i) a function of a corresponding application and (ii) a state of the corresponding application resulting from performing the function; determining, by the processing device, for each record in the consideration set of records, a result score for the record, wherein the result score for the record is determined based on a matching between the retrieval leaf node and the state data of the record; generating, by the processing device, search results based on a subset of the consideration set of records, wherein the subset is selected based on the result scores of the consideration set of records; and providing, by the processing device, the search results to the remote device. 11. The method of claim 1 further comprising generating a subtree in the retrieval query for each parsed token that has a property, wherein generating the subtree in the retrieval query for a first parsed token includes: creating an intermediate level node to store a logic operator; creating a string retrieval leaf node; storing the corresponding string of the first parsed token in the string retrieval leaf node; connecting the string retrieval leaf node with the intermediate level node; and for each property in the first parsed token: creating a property retrieval leaf node; storing the property in the property retrieval leaf node; and connecting the property retrieval leaf node with the intermediate level node. | 0.521301 |
17. A non-transitory computer-readable storage medium including instructions, the instructions comprising: one or more instructions which, when executed by at least one processor, cause the at least one processor to: identify information associated with content of a first web page, the first web page being accessed by a user, and the identified information including one or more terms; form a search query based on the identified information and information associated with the user, the information associated with the user including one or more terms; identify a second web page based on the search query that is based on the identified information and the information associated with the user; modify the first web page by inserting a reference to the second web page, the reference to the second web page including text associated with content of the second web page; and provide, for presentation to the user, the modified first web page. | 17. A non-transitory computer-readable storage medium including instructions, the instructions comprising: one or more instructions which, when executed by at least one processor, cause the at least one processor to: identify information associated with content of a first web page, the first web page being accessed by a user, and the identified information including one or more terms; form a search query based on the identified information and information associated with the user, the information associated with the user including one or more terms; identify a second web page based on the search query that is based on the identified information and the information associated with the user; modify the first web page by inserting a reference to the second web page, the reference to the second web page including text associated with content of the second web page; and provide, for presentation to the user, the modified first web page. 18. The non-transitory computer-readable storage medium of claim 17 , where the one or more instructions to modify the first web page by inserting the reference to the second web page include: one or more instructions to insert the reference to the second web page into the first web page in-line with the identified information. | 0.55918 |
10. An apparatus for predictive coding of previously collected electronic discovery documents, the apparatus comprising: a computing platform including at least one processor, a memory in communication with the processor and a display in communication with the processor; a document coding application stored in the memory, executable by the processor and configured to receive a plurality of document coding inputs that each assign a review code to one of a plurality of first documents, which are associated with a case within an electronic discovery system and have been previously collected from one of a plurality of custodians associated with the case, wherein the review code indicates a level of relevancy or importance in relation to the case and at least one document coding input codes a first document as privileged; and a predictive document coding application stored in the memory, executable by the processor and including, a document similarity evaluator configured to (1) determine, in response to receiving each of the plurality of document coding inputs, if one or more second documents, which are associated with the case, have been previously collected from the plurality of custodians and are pending review, are similar to or same as the first document, and (2) determine, in response to receiving the at least one document coding input that codes the first document as privileged, determining, via a computing device, if one or more third documents, which are associated with other cases in the electronic discovery system, have been collected from the plurality of custodians and are pending review are same as the first document, a code assignor configured to (1), in response to determining that the second documents are same as the first document, automatically assign a review code assigned to the first document to the one or more second documents that are the same as the first document and, (2) in response to determining that the third documents are same as the first document, automatically assign the privilege code to the one or more third documents that are the same as the first document, a document remover configured to remove the one or more second documents that are the same as the first document from a plurality of pending review documents based on the assignment of the review code, wherein the pending review documents are included in a document review assignment currently being reviewed by a reviewer, and a confidence indicator presenter configured to present, on the display, the one or more second documents that are similar to the first document and a confidence indicator that indicates a level of similarity between the first document and a presented second document, wherein the reviewer makes a determination based on the confidence indicator as to whether the presented second document reaches a level of similarity to the first document to justify assigning the review code to the presented document. | 10. An apparatus for predictive coding of previously collected electronic discovery documents, the apparatus comprising: a computing platform including at least one processor, a memory in communication with the processor and a display in communication with the processor; a document coding application stored in the memory, executable by the processor and configured to receive a plurality of document coding inputs that each assign a review code to one of a plurality of first documents, which are associated with a case within an electronic discovery system and have been previously collected from one of a plurality of custodians associated with the case, wherein the review code indicates a level of relevancy or importance in relation to the case and at least one document coding input codes a first document as privileged; and a predictive document coding application stored in the memory, executable by the processor and including, a document similarity evaluator configured to (1) determine, in response to receiving each of the plurality of document coding inputs, if one or more second documents, which are associated with the case, have been previously collected from the plurality of custodians and are pending review, are similar to or same as the first document, and (2) determine, in response to receiving the at least one document coding input that codes the first document as privileged, determining, via a computing device, if one or more third documents, which are associated with other cases in the electronic discovery system, have been collected from the plurality of custodians and are pending review are same as the first document, a code assignor configured to (1), in response to determining that the second documents are same as the first document, automatically assign a review code assigned to the first document to the one or more second documents that are the same as the first document and, (2) in response to determining that the third documents are same as the first document, automatically assign the privilege code to the one or more third documents that are the same as the first document, a document remover configured to remove the one or more second documents that are the same as the first document from a plurality of pending review documents based on the assignment of the review code, wherein the pending review documents are included in a document review assignment currently being reviewed by a reviewer, and a confidence indicator presenter configured to present, on the display, the one or more second documents that are similar to the first document and a confidence indicator that indicates a level of similarity between the first document and a presented second document, wherein the reviewer makes a determination based on the confidence indicator as to whether the presented second document reaches a level of similarity to the first document to justify assigning the review code to the presented document. 11. The apparatus of claim 10 , wherein the document remover is further configured to remove the one or more second documents that are the same as the first document from the plurality of pending review documents, wherein removing occurs in near real-time to the document coding application receiving the document coding input. | 0.5 |
26. The method of claim 24 , wherein a fact has an associated metric and further comprising: scoring the facts responsive to the facts' metrics to produce scores for the facts; and identifying the one or more facts of the objects in the set to present responsive to the facts' scores. | 26. The method of claim 24 , wherein a fact has an associated metric and further comprising: scoring the facts responsive to the facts' metrics to produce scores for the facts; and identifying the one or more facts of the objects in the set to present responsive to the facts' scores. 27. The method of claim 26 , wherein a metric comprises: a confidence level indicating a likelihood that the fact is correct; and an importance value indicating a relevance of a fact to its associated object. | 0.852178 |
11. A computer storage device, having computer-executable instructions that, when executed by at least one processor, perform a method for converting text-to-speech, the method comprising: receiving text input into a plurality of first level recurrent neural networks; determining, by a first recurrent neural network in the plurality of first level recurrent neural networks, one or more properties of the text input from the group consisting of: part-of-speech properties, phonemes, linguistic prosody properties, contextual properties, and semantic properties; determining, by a second recurrent neural network in the plurality of first level recurrent neural networks, one or more properties of the text input from the group consisting of: part-of-speech properties, phonemes, linguistic prosody properties, contextual properties, and semantic properties, wherein the determined one or properties by the second recurrent neural network is different from the determined one or more properties by the first recurrent neural network; receiving, by a recurrent neural network in a second level, the determined properties from the first recurrent neural network in the plurality of first level recurrent neural networks and the second recurrent neural networks in the plurality of first level recurrent neural networks; determining by the recurrent neural network in the second level, phonetic properties for the text input based on the properties received from the first recurrent neural network in the plurality of first level recurrent neural networks and the second neural network in the plurality of first level recurrent neural networks, wherein the recurrent neural network in the second level is different from the first recurrent neural network in the plurality of first level recurrent neural networks and the second recurrent neural network in the plurality of first level recurrent neural networks; and based on the determined phonetic properties, generating a generation sequence for synthetization by an audio synthesizer. | 11. A computer storage device, having computer-executable instructions that, when executed by at least one processor, perform a method for converting text-to-speech, the method comprising: receiving text input into a plurality of first level recurrent neural networks; determining, by a first recurrent neural network in the plurality of first level recurrent neural networks, one or more properties of the text input from the group consisting of: part-of-speech properties, phonemes, linguistic prosody properties, contextual properties, and semantic properties; determining, by a second recurrent neural network in the plurality of first level recurrent neural networks, one or more properties of the text input from the group consisting of: part-of-speech properties, phonemes, linguistic prosody properties, contextual properties, and semantic properties, wherein the determined one or properties by the second recurrent neural network is different from the determined one or more properties by the first recurrent neural network; receiving, by a recurrent neural network in a second level, the determined properties from the first recurrent neural network in the plurality of first level recurrent neural networks and the second recurrent neural networks in the plurality of first level recurrent neural networks; determining by the recurrent neural network in the second level, phonetic properties for the text input based on the properties received from the first recurrent neural network in the plurality of first level recurrent neural networks and the second neural network in the plurality of first level recurrent neural networks, wherein the recurrent neural network in the second level is different from the first recurrent neural network in the plurality of first level recurrent neural networks and the second recurrent neural network in the plurality of first level recurrent neural networks; and based on the determined phonetic properties, generating a generation sequence for synthetization by an audio synthesizer. 13. The computer storage device of claim 11 , wherein the one or more properties received are the phonemes, the contextual properties, and the semantic properties. | 0.533981 |
9. A method comprising: creating a specification for constructing a web display to contain page components that display data from heterogeneous data sources, the specification associating the page components with uniform resource locators assigned to the page components; storing the specification in at least one memory; retrieving data from heterogeneous data sources to produce the web display; controlling display and/or update of the page components using the uniform resource locators, the web display to display at least some of the data from the heterogeneous data sources; associating one or more user-specific changes to the page components, the user-specific changes comprising a layout change to a page layout for a page including the page components; tracking the one or more user-specific changes to the page components to allow users to make changes to the page components; and providing user-selectable options to dynamically undo at least some of the one or more user-specific changes to the page components. | 9. A method comprising: creating a specification for constructing a web display to contain page components that display data from heterogeneous data sources, the specification associating the page components with uniform resource locators assigned to the page components; storing the specification in at least one memory; retrieving data from heterogeneous data sources to produce the web display; controlling display and/or update of the page components using the uniform resource locators, the web display to display at least some of the data from the heterogeneous data sources; associating one or more user-specific changes to the page components, the user-specific changes comprising a layout change to a page layout for a page including the page components; tracking the one or more user-specific changes to the page components to allow users to make changes to the page components; and providing user-selectable options to dynamically undo at least some of the one or more user-specific changes to the page components. 12. The method of claim 9 , further comprising: providing at least one additional user-selectable option to for a redo of the one or more user-specific changes. | 0.888658 |
13. A method performed by a computing system during a proceeding in which a transcript representative of spoken words is generated in real-time, the method comprising: generating a transcript in real time; storing the transcript; accepting, during generation of the transcript, a user input representative of a first search request; and displaying, during generation of the transcript and after access the user input, at least a portion of the transcript corresponding to results of the first search request. | 13. A method performed by a computing system during a proceeding in which a transcript representative of spoken words is generated in real-time, the method comprising: generating a transcript in real time; storing the transcript; accepting, during generation of the transcript, a user input representative of a first search request; and displaying, during generation of the transcript and after access the user input, at least a portion of the transcript corresponding to results of the first search request. 14. The method of claim 13 further comprising generating an index that corresponds to the spoken words of the transcript in real-time. | 0.65473 |
1. A method to perform a reasoning task, the method comprising: receiving a reasoning task, wherein the reasoning task includes one or more symbols; extracting, based on an interpretation of the one or more symbols, polarity-based modules from a knowledge base, wherein the polarity-based modules includes axioms relevant to at least one of a positive polarity and a negative polarity of each of the one or more symbols; intersecting the polarity-based modules to identify an intersection polarity-based module that includes axioms from each of the polarity-based modules; and performing the reasoning task with the at least one intersection polarity-based module to obtain a result. | 1. A method to perform a reasoning task, the method comprising: receiving a reasoning task, wherein the reasoning task includes one or more symbols; extracting, based on an interpretation of the one or more symbols, polarity-based modules from a knowledge base, wherein the polarity-based modules includes axioms relevant to at least one of a positive polarity and a negative polarity of each of the one or more symbols; intersecting the polarity-based modules to identify an intersection polarity-based module that includes axioms from each of the polarity-based modules; and performing the reasoning task with the at least one intersection polarity-based module to obtain a result. 6. The method of claim 1 , further comprising identifying all axioms in the knowledge base that are directly or indirectly relevant to polarities of the one or more symbols. | 0.769598 |
12. The process of claim 11, wherein receiving only the requested portion includes receiving a starting point element, the starting point element having been selected according to the indicated starting point; and wherein the step of generating a digital form includes: providing a plurality of property specifications for type names utilized for elements in the digital document; receiving an identity of any ancestor elements of the starting point element; and applying a property specification corresponding to the type name of ancestor elements identified for each selected element to the text content of each selected element to produce the digital form. | 12. The process of claim 11, wherein receiving only the requested portion includes receiving a starting point element, the starting point element having been selected according to the indicated starting point; and wherein the step of generating a digital form includes: providing a plurality of property specifications for type names utilized for elements in the digital document; receiving an identity of any ancestor elements of the starting point element; and applying a property specification corresponding to the type name of ancestor elements identified for each selected element to the text content of each selected element to produce the digital form. 20. The process of claim 12, further comprising the steps of: receiving said indication of a starting point within the digital document; and providing at an output the digital form. | 0.851127 |
8. A computer program product for assisting users to generate the desired meme in a document, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code comprising the programming instructions for: receiving a document to be evaluated for one or more types of memes for one or more designated primary objects within said document; receiving a type of meme for each of said one or more designated primary objects, wherein each of said one or more designated primary objects is evaluated in accordance with said received type of meme; scanning said document to identify terms providing one or more of positive and negative memes within said document, wherein said identified terms comprise one or more of the following: parts of speech, images, numerical text and numbers; assigning a score for each identified term that provides one or more of positive and negative memes within said document; assigning a score for each of said one or more designated primary objects based on said score assigned for said each identified term; and providing one or more options to modify said document to provide said received type of meme for each of said one or more designated primary objects using said score assigned for each of said one or more designated primary objects. | 8. A computer program product for assisting users to generate the desired meme in a document, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code comprising the programming instructions for: receiving a document to be evaluated for one or more types of memes for one or more designated primary objects within said document; receiving a type of meme for each of said one or more designated primary objects, wherein each of said one or more designated primary objects is evaluated in accordance with said received type of meme; scanning said document to identify terms providing one or more of positive and negative memes within said document, wherein said identified terms comprise one or more of the following: parts of speech, images, numerical text and numbers; assigning a score for each identified term that provides one or more of positive and negative memes within said document; assigning a score for each of said one or more designated primary objects based on said score assigned for said each identified term; and providing one or more options to modify said document to provide said received type of meme for each of said one or more designated primary objects using said score assigned for each of said one or more designated primary objects. 10. The computer program product as recited in claim 8 , wherein the program code further comprises the programming instructions for: assigning said score for said each identified term that provides one or more of positive and negative memes within said document based on a heat map. | 0.523625 |
8. The method as claimed in claim 7 further comprising the step of utilizing a computer to generate user information and wherein the step of creating is based on the computer-generated user information. | 8. The method as claimed in claim 7 further comprising the step of utilizing a computer to generate user information and wherein the step of creating is based on the computer-generated user information. 9. The method as claimed in claim 8 further comprising the step of automatically inserting logical and arithmetic operators in universal or conditional statements. | 0.873971 |
1. A method, implemented by a computing system comprising one or more processors, the method comprising: comparing, using one or more of the processors, one or more collocations from a text sample with a corpus; identifying, using one or more of the processors, whether the collocations are disfavored in the corpus; and providing indications of whether the collocations are disfavored via an output device; in which comparing the collocations with the corpus comprises performing one or more searches of the World Wide Web using one or more query terms that comprise each of one or more of the collocations; and in which for each of one or more of the collocations for which searches are performed, a search is performed for each of the one or more query terms that comprise the collocation until either one of the query terms provides search results that meet a preselected threshold for matching the collocation, or all the query terms that comprise the collocation are used without meeting the preselected threshold, and further comprising: composing one or more query terms with a wild card replacing a word in one of the disfavored collocations; searching a word collocation reference for the query terms; identifying results of the search having a relatively high proportion of a candidate word replacing the wild card; and providing the results of the search having the candidate word via the output device as potentially proper word collocations. | 1. A method, implemented by a computing system comprising one or more processors, the method comprising: comparing, using one or more of the processors, one or more collocations from a text sample with a corpus; identifying, using one or more of the processors, whether the collocations are disfavored in the corpus; and providing indications of whether the collocations are disfavored via an output device; in which comparing the collocations with the corpus comprises performing one or more searches of the World Wide Web using one or more query terms that comprise each of one or more of the collocations; and in which for each of one or more of the collocations for which searches are performed, a search is performed for each of the one or more query terms that comprise the collocation until either one of the query terms provides search results that meet a preselected threshold for matching the collocation, or all the query terms that comprise the collocation are used without meeting the preselected threshold, and further comprising: composing one or more query terms with a wild card replacing a word in one of the disfavored collocations; searching a word collocation reference for the query terms; identifying results of the search having a relatively high proportion of a candidate word replacing the wild card; and providing the results of the search having the candidate word via the output device as potentially proper word collocations. 10. The method of claim 1 , further comprising part-of-speech tagging the text sample, and further wherein the collocations that are compared with the corpus are selected from the text sample for comprising at least one of a verb-noun collocation, a preposition-noun collocation, an adjective-noun collocation, and a verb-adverb collocation. | 0.648871 |
35. A system comprising: one or more processors; and a memory coupled to the processors comprising instructions executable by the processors, the processors being operable when executing the instructions to: extract one or more features from a photo; calculate an engagement metric for the photo based on the one or more extracted features, wherein the engagement metric represents the probability that one or more users will interact with the photo; and apply one or more policies to the photo based on the engagement metric. | 35. A system comprising: one or more processors; and a memory coupled to the processors comprising instructions executable by the processors, the processors being operable when executing the instructions to: extract one or more features from a photo; calculate an engagement metric for the photo based on the one or more extracted features, wherein the engagement metric represents the probability that one or more users will interact with the photo; and apply one or more policies to the photo based on the engagement metric. 43. The system of claim 35 , the instructions to extract one or more features comprising instructions to apply one or more facial recognition algorithms to the photo, wherein one of the one or more features comprises the number of smiling faces detected in the photo. | 0.578283 |
18. A computer-readable storage medium having instructions stored thereon which, when executed by a processor, perform a method for handling preprocessing in source code transformation, the method comprising: deconditioning an original source code to produce a parsable source code, the original source code including original preprocessing directives; parsing the parsable source code to produce an abstract syntax tree (AST) form, the AST form comprising annotations adapted to facilitate preservation of a style of the original source code; performing an AST-based transformation on the AST form to produce a modified AST form; and reconditioning the modified AST form to produce a modified source code conforming to the original source code style, reconditioning comprising reconstructing a portion of the original preprocessing directives that was unaffected by the AST-based transformation. | 18. A computer-readable storage medium having instructions stored thereon which, when executed by a processor, perform a method for handling preprocessing in source code transformation, the method comprising: deconditioning an original source code to produce a parsable source code, the original source code including original preprocessing directives; parsing the parsable source code to produce an abstract syntax tree (AST) form, the AST form comprising annotations adapted to facilitate preservation of a style of the original source code; performing an AST-based transformation on the AST form to produce a modified AST form; and reconditioning the modified AST form to produce a modified source code conforming to the original source code style, reconditioning comprising reconstructing a portion of the original preprocessing directives that was unaffected by the AST-based transformation. 19. The computer readable storage medium of claim 18 , further comprising: generating the annotations in the AST form to represent meta-data tags generated in the original source code by the deconditioning, wherein the performing the AST-based transformation further comprises processing the annotations to re-produce the meta-data tags in the modified AST form, and wherein the reconditioning further processing the meta-data tags to produce the modified source. | 0.571779 |
10. A system for analyzing user performance data from multiple sources and for providing evaluation and feedback regarding user performance, comprising: a computer; and a database, wherein the computer is programmed for executing steps comprising: receiving performance data for evaluating the user with a computer, the performance data resulting from the user performing a first task for evaluating a cognitive ability of the user and a second, different task for evaluating a non-cognitive ability of the user; analyzing the performance data with the computer using mathematical models related to the first and second tasks; wherein the analyzing performance data comprises: identifying construct models as the mathematical models related to the first and second tasks; identifying model-specific evaluation functions for each of the construct models; transforming the performance data onto score scales using the model-specific evaluation functions, resulting in model-specific scaled score data; transforming the model-specific scored scaled data and previously stored model-specific scaled score data into construct-level scores; identifying score scale partition categories based on the construct-level scores; retrieving category-specific diagnostic feedback based on the identified score scale partition categories; generating an evaluation and diagnostic feedback with the computer based upon the analyzing; generating a report regarding user performance using the diagnostic feedback and the evaluation; and transmitting the report. | 10. A system for analyzing user performance data from multiple sources and for providing evaluation and feedback regarding user performance, comprising: a computer; and a database, wherein the computer is programmed for executing steps comprising: receiving performance data for evaluating the user with a computer, the performance data resulting from the user performing a first task for evaluating a cognitive ability of the user and a second, different task for evaluating a non-cognitive ability of the user; analyzing the performance data with the computer using mathematical models related to the first and second tasks; wherein the analyzing performance data comprises: identifying construct models as the mathematical models related to the first and second tasks; identifying model-specific evaluation functions for each of the construct models; transforming the performance data onto score scales using the model-specific evaluation functions, resulting in model-specific scaled score data; transforming the model-specific scored scaled data and previously stored model-specific scaled score data into construct-level scores; identifying score scale partition categories based on the construct-level scores; retrieving category-specific diagnostic feedback based on the identified score scale partition categories; generating an evaluation and diagnostic feedback with the computer based upon the analyzing; generating a report regarding user performance using the diagnostic feedback and the evaluation; and transmitting the report. 15. The system of claim 10 , wherein the first task measures mathematical ability or content knowledge of the user. | 0.5252 |
4. A reading skills development kit in accordance with claim 1 including a separate deck of cards associated with each of said at least one permanent first phoneme sets, each card in said deck bearing a different one of said interchangeable second phoneme sets and wherein said exposing means comprises a pocket adapted to receive said deck of cards on said background with the interchangeable second phoneme sets located above the pocket. | 4. A reading skills development kit in accordance with claim 1 including a separate deck of cards associated with each of said at least one permanent first phoneme sets, each card in said deck bearing a different one of said interchangeable second phoneme sets and wherein said exposing means comprises a pocket adapted to receive said deck of cards on said background with the interchangeable second phoneme sets located above the pocket. 5. A reading skills development kit in accordance with claim 4 wherein each of said pockets is a different color and each of said cards in said deck inserted in said pocket is the same color as said pocket so that a student will know he has not formed a proper word with said at least one first and second phoneme sets if said color of said cards does not match said color of said pocket. | 0.83319 |
1. A computer-implemented method comprising: providing a partial query term to multiple data provider modules, each data provider module being adapted to search at least one data source using the partial query term; receiving a plurality of search suggestion items responsive to the partial query term from two or more of the data provider modules; grouping the plurality of search suggestion items into a plurality of groups, each group corresponding to at least one data provider module, wherein the grouping is based on the data provider module from which each search suggestion item was received; and providing for display a representation of each group associated with at least one data provider module and one or more of the respective search suggestion items included in the associated group through a user interface. | 1. A computer-implemented method comprising: providing a partial query term to multiple data provider modules, each data provider module being adapted to search at least one data source using the partial query term; receiving a plurality of search suggestion items responsive to the partial query term from two or more of the data provider modules; grouping the plurality of search suggestion items into a plurality of groups, each group corresponding to at least one data provider module, wherein the grouping is based on the data provider module from which each search suggestion item was received; and providing for display a representation of each group associated with at least one data provider module and one or more of the respective search suggestion items included in the associated group through a user interface. 7. The computer-implemented method of claim 1 further comprising, when an exact substring match does not exist between the search suggestion item identified by the user selection and the partial query term, displaying a representation of the search suggestion item identified by the user selection adjacent to the partial query term on the user interface. | 0.642095 |
5. A method for receiving a user input in a mobile electronic device having a human interface device and a display unit joined with the human interface device, comprising: receiving, by a text input unit comprising a plurality of physical buttons, a text input of a user; receiving, by a pointer location input unit, a user motion on a motion detection area which is formed on a surface of the physical buttons; recognizing, by the pointer location input unit, information related to a pointer location from the user motion on the motion detection area, wherein the pointer location indicates a location of a pointer displayed on the display unit; activating or deactivating, by a first button, a pointer location input mode; and executing, by the first button, at least one function at the pointer location; wherein the first button is provided in an area separate from the text input unit, wherein the first button comprises a capacitive touch sensor which detects a user touch input, the pointer location input mode is temporarily activated while the user touch input is maintained without mechanically pressing the first button, wherein the first button executes the at least one function at the pointer location when the first button is mechanically pressed, wherein the pointer location input mode is permanently activated without maintaining the user touch input while the first button is locked. | 5. A method for receiving a user input in a mobile electronic device having a human interface device and a display unit joined with the human interface device, comprising: receiving, by a text input unit comprising a plurality of physical buttons, a text input of a user; receiving, by a pointer location input unit, a user motion on a motion detection area which is formed on a surface of the physical buttons; recognizing, by the pointer location input unit, information related to a pointer location from the user motion on the motion detection area, wherein the pointer location indicates a location of a pointer displayed on the display unit; activating or deactivating, by a first button, a pointer location input mode; and executing, by the first button, at least one function at the pointer location; wherein the first button is provided in an area separate from the text input unit, wherein the first button comprises a capacitive touch sensor which detects a user touch input, the pointer location input mode is temporarily activated while the user touch input is maintained without mechanically pressing the first button, wherein the first button executes the at least one function at the pointer location when the first button is mechanically pressed, wherein the pointer location input mode is permanently activated without maintaining the user touch input while the first button is locked. 7. The method of claim 5 , wherein the receiving the user motion is performed on a single touch pad covering the physical buttons of the text input unit. | 0.706107 |
1. A computer-implemented building automation system for constructing applications that interact with building automation devices to perform building automation functions, comprising: a standard object super class stored in a computer readable memory that defines a plurality of standard objects through instantiation such that said standard objects have attributes and methods predetermined physical relationships defined by physical laws associated with the building automation functions; said standard objects further having at least a first communication method for retrieving attributes from another of said standard objects and a second communication method for transmitting attributes to another of said standard objects; and an application for performing a building automation function defined by at least two of said standard objects interconnected using said first and second communication method, such that said standard objects are selected from the group having an analog input object, an analog output object, an analog value object, a binary input object, a binary output object, a binary output sequencer object, a binary value object, a duration adjust output object, a device object, an electric heater sequencer object, a binary value object, a duration adjust output object, a device object, an electric heater sequencer object, a latch object, a multistate output object, a multistate value object, a P-adaptive object, a position adjust output object, a proportional integral derivative object, a pattern recognition adaptive controller object, a ramp object, a start object and a timer object. | 1. A computer-implemented building automation system for constructing applications that interact with building automation devices to perform building automation functions, comprising: a standard object super class stored in a computer readable memory that defines a plurality of standard objects through instantiation such that said standard objects have attributes and methods predetermined physical relationships defined by physical laws associated with the building automation functions; said standard objects further having at least a first communication method for retrieving attributes from another of said standard objects and a second communication method for transmitting attributes to another of said standard objects; and an application for performing a building automation function defined by at least two of said standard objects interconnected using said first and second communication method, such that said standard objects are selected from the group having an analog input object, an analog output object, an analog value object, a binary input object, a binary output object, a binary output sequencer object, a binary value object, a duration adjust output object, a device object, an electric heater sequencer object, a binary value object, a duration adjust output object, a device object, an electric heater sequencer object, a latch object, a multistate output object, a multistate value object, a P-adaptive object, a position adjust output object, a proportional integral derivative object, a pattern recognition adaptive controller object, a ramp object, a start object and a timer object. 2. The computer-implemented building automation system of claim 1 wherein said application being defined in an assembly object having attributes for storing data, a logic sequence and at least two of said standard objects without encapsulation of said standard objects, for performing at least one building automation function. | 0.868695 |
10. A computer-implemented method, comprising: receiving a search query from a client application associated with a first user; generating a processed query based on the search query; providing search results to a search result list for the search query, the search results comprising a document and a plurality of other documents; mapping the search query into a query board based on similarity between the processed query and an existing processed query; receiving a control directive from the client application to share the document, wherein the control directive is received from the first client application associated with the first user, and further wherein the control directive causes the document to be shared with at least a second client application associated with a second user without causing at least one of the plurality of other documents to be shared with the second client application associated with the second user; adding the document to be shared to the query board as a shared document; and providing the shared document from the query board to a writable topic board such that a graphical user interface associated with the writable topic board displays shared document, the writable topic board being part of a user interface view of a client application and including one or more search result items as shared documents that can be modified by and shared among multiple users. | 10. A computer-implemented method, comprising: receiving a search query from a client application associated with a first user; generating a processed query based on the search query; providing search results to a search result list for the search query, the search results comprising a document and a plurality of other documents; mapping the search query into a query board based on similarity between the processed query and an existing processed query; receiving a control directive from the client application to share the document, wherein the control directive is received from the first client application associated with the first user, and further wherein the control directive causes the document to be shared with at least a second client application associated with a second user without causing at least one of the plurality of other documents to be shared with the second client application associated with the second user; adding the document to be shared to the query board as a shared document; and providing the shared document from the query board to a writable topic board such that a graphical user interface associated with the writable topic board displays shared document, the writable topic board being part of a user interface view of a client application and including one or more search result items as shared documents that can be modified by and shared among multiple users. 11. The computer-implemented method of claim 10 , comprising adding the document to the query board in response to a control directive from the client application to pin the document contained in the search results list to the writable topic board for sharing between users. | 0.566741 |
4. A method for providing a multi-mode editor, via a computing system including a graphical display that facilitates editing a LOGIC BLOCK object for use in a process control system, the method comprising the steps of: providing, by the editor, a first LOGIC BLOCK editing mode wherein LOGIC BLOCK logic is represented by a graphical definition comprising instruction shapes and connections between the instruction shapes, wherein said definition further comprises object attributes for process control; providing, by the editor, a second LOGIC BLOCK editing mode wherein LOGIC BLOCK logic is represented by a text definition comprising lines of text instructions, wherein said definition further comprises object attributes for process control; switching, while a LOGIC BLOCK object is open in the editor, between the first and second LOGIC BLOCK editing modes, the switching comprising the sub-steps of: storing a first graphical representation and a first text representation of the LOGIC BLOCK logic; if the switching is from the second logic block editing mode to the first logic block editing mode: converting the first graphical representation to a second text representation of the LOGIC BLOCK logic; comparing the second text representation attributes with the first text representation attributes to confirm attributes did not change during said converting step; if attributes did not change during said converting step, using the first graphical representation to generate an initial view in the first logic block editing mode; if attributes changed during said converting step, generating a new graphical representation from the first text representation for storing in the first graphical representation; converting the new graphical representation to a new text representation; comparing attributes of the new text representation with the first text representation attributes; if a difference is detected, update the first text representation with the new text representation; if no difference is detected generating an initial view with the new graphical representation, if the switching is from the first logic block editing mode to the second logic block editing mode: converting the first graphical representation to a third text representation; using the third text representation in the second logic block editing mode. | 4. A method for providing a multi-mode editor, via a computing system including a graphical display that facilitates editing a LOGIC BLOCK object for use in a process control system, the method comprising the steps of: providing, by the editor, a first LOGIC BLOCK editing mode wherein LOGIC BLOCK logic is represented by a graphical definition comprising instruction shapes and connections between the instruction shapes, wherein said definition further comprises object attributes for process control; providing, by the editor, a second LOGIC BLOCK editing mode wherein LOGIC BLOCK logic is represented by a text definition comprising lines of text instructions, wherein said definition further comprises object attributes for process control; switching, while a LOGIC BLOCK object is open in the editor, between the first and second LOGIC BLOCK editing modes, the switching comprising the sub-steps of: storing a first graphical representation and a first text representation of the LOGIC BLOCK logic; if the switching is from the second logic block editing mode to the first logic block editing mode: converting the first graphical representation to a second text representation of the LOGIC BLOCK logic; comparing the second text representation attributes with the first text representation attributes to confirm attributes did not change during said converting step; if attributes did not change during said converting step, using the first graphical representation to generate an initial view in the first logic block editing mode; if attributes changed during said converting step, generating a new graphical representation from the first text representation for storing in the first graphical representation; converting the new graphical representation to a new text representation; comparing attributes of the new text representation with the first text representation attributes; if a difference is detected, update the first text representation with the new text representation; if no difference is detected generating an initial view with the new graphical representation, if the switching is from the first logic block editing mode to the second logic block editing mode: converting the first graphical representation to a third text representation; using the third text representation in the second logic block editing mode. 6. The method of claim 4 wherein the switching step, when performed to render the graphical representation of the LOGIC BLOCK logic, comprises executing computer-executable instructions to layout the instruction shapes according to a set of pre-defined layout rules. | 0.632231 |
1. A method of speech analysis comprising: representing a length of speech as a temporal sequence of frames, with each frame representing speech sounds at one of a succession of brief time periods; analyzing each frame of speech to obtain a plurality of spectral parameters, each of which represents the energy at one of a series of different frequency bands; finding the difference between the energy of a given spectral parameter of a given frame and the energy, in a nearby frame, of a spectral parameter associated with an energy band which is close to, but different than, the frequency band represented by said given spectral parameter; and using that difference to calculate a slope parameter which provides an indication of the extent to which the frequency of the acoustic energy in the part of the spectrum represented by said given spectral parameter is going up or going down. | 1. A method of speech analysis comprising: representing a length of speech as a temporal sequence of frames, with each frame representing speech sounds at one of a succession of brief time periods; analyzing each frame of speech to obtain a plurality of spectral parameters, each of which represents the energy at one of a series of different frequency bands; finding the difference between the energy of a given spectral parameter of a given frame and the energy, in a nearby frame, of a spectral parameter associated with an energy band which is close to, but different than, the frequency band represented by said given spectral parameter; and using that difference to calculate a slope parameter which provides an indication of the extent to which the frequency of the acoustic energy in the part of the spectrum represented by said given spectral parameter is going up or going down. 2. A method as described in claim 1, further including: calculating one or more such slope parameters for each of a plurality frames from the sequence of frames; and comparing the slope parameters which have been calculated for the sequence of frame against each of a plurality of acoustic models representing speech units, where each such speech-unit model has a model for the slope parameters associated with frame that correspond to the speech unit it represents. | 0.748301 |
8. An assignment method for processing an input text, the method comprising acts of: accessing, using at least one computer, a word-class table associating each of a set of words with one of a plurality of word-classes to which the respective word is a member, each of the plurality of word-classes characterizing a categorical commonality of all member words related to the definitional meaning of the member words; determining, using at least one computer, whether each word in the input text is included in the word-class table and assigning word-class information to each word in the input text that is included in the word-class table that indicates to which word-class the corresponding word is a member; delivering, using at least one computer, word-class sequence information containing the assigned word-class information in the sequence in which the associated words appear in the input text; accessing, using at least one computer, a linkage table that associates a plurality different combinations of word-class information of interest with respective linkage information; detecting, using at least one computer, if any of the plurality of combinations of word-class information are present in the word-class information; providing, by at least one computer, the associated linkage information for each detected combination; receiving, by at least one computer, the provided linkage information; accessing, using at least one computer, an action table that associates linkage information and/or combinations of linkage information with a corresponding action; detecting, using at least one computer, if any action is associated with the linkage information; and activating, using at least one computer, each action detected as being associated with the linkage information. | 8. An assignment method for processing an input text, the method comprising acts of: accessing, using at least one computer, a word-class table associating each of a set of words with one of a plurality of word-classes to which the respective word is a member, each of the plurality of word-classes characterizing a categorical commonality of all member words related to the definitional meaning of the member words; determining, using at least one computer, whether each word in the input text is included in the word-class table and assigning word-class information to each word in the input text that is included in the word-class table that indicates to which word-class the corresponding word is a member; delivering, using at least one computer, word-class sequence information containing the assigned word-class information in the sequence in which the associated words appear in the input text; accessing, using at least one computer, a linkage table that associates a plurality different combinations of word-class information of interest with respective linkage information; detecting, using at least one computer, if any of the plurality of combinations of word-class information are present in the word-class information; providing, by at least one computer, the associated linkage information for each detected combination; receiving, by at least one computer, the provided linkage information; accessing, using at least one computer, an action table that associates linkage information and/or combinations of linkage information with a corresponding action; detecting, using at least one computer, if any action is associated with the linkage information; and activating, using at least one computer, each action detected as being associated with the linkage information. 9. An assignment method as claimed in claim 8 , wherein the linkage information associated with a detected word-class combination is delivered only if the corresponding words are less than a maximum distance from one another in the input text. | 0.774492 |
9. A non-transitory computer storage medium storing instructions that, when executed by data processing apparatus, cause the one or more computers to perform operations comprising: receiving, by an automated speech recognizer (ASR) system that includes (i) a context selector, (ii) a language model biaser, (iii) an ASR, (iv) a particular language model, and (v) a previously biased language model, audio data corresponding to an utterance of a user; determining, by the context selector of the ASR system, that the user is likely no longer within a particular context that is associated the previously biased language model; in response to determining that the user is likely no longer within a particular context that is associated with the previously biased language model, selecting, by the language model biaser of the ASR system, the particular language model for use in transcribing utterances; after selecting the baseline language model, generating, by the ASR of the ASR system, a transcription of the utterance using the particular language model; and providing a representation of the transcription for output. | 9. A non-transitory computer storage medium storing instructions that, when executed by data processing apparatus, cause the one or more computers to perform operations comprising: receiving, by an automated speech recognizer (ASR) system that includes (i) a context selector, (ii) a language model biaser, (iii) an ASR, (iv) a particular language model, and (v) a previously biased language model, audio data corresponding to an utterance of a user; determining, by the context selector of the ASR system, that the user is likely no longer within a particular context that is associated the previously biased language model; in response to determining that the user is likely no longer within a particular context that is associated with the previously biased language model, selecting, by the language model biaser of the ASR system, the particular language model for use in transcribing utterances; after selecting the baseline language model, generating, by the ASR of the ASR system, a transcription of the utterance using the particular language model; and providing a representation of the transcription for output. 13. The medium of claim 9 , wherein determining that the user is likely no longer within the particular context comprises determining that a confidence score associated with the user and the particular context does not satisfy a threshold. | 0.5 |
27. A computer program product for managing user contributed data extraction templates using weighted ranking score analysis comprising: a nontransitory computer readable medium; and computer program code, encoded on the nontransitory computer readable medium, comprising computer readable instructions which, when executed via any set of one or more processors, perform the following: generating required number of fields data for a specific source document type indicating the required number of fields for which data is required to be extracted; receiving data extraction template data representing a data extraction template associated with the specific source document type; determining field hit count number data associated with the data extraction template; generating data field ratio term data for the data extraction template; assigning data field count weighting factor data to the data extraction template; using the data extraction template to extract data from received source documents of the specific source document type; monitoring the acceptance or rejection of data extracted from received source documents of the specific source document type using the data extraction template; generating data acceptance count data to be associated with the data extraction template; generating data acceptance ratio term data for the data extraction template; assigning data acceptance weighting factor data to the data extraction template; transforming the data field ratio term data for the data extraction template, the data field count weighting factor data assigned to the data extraction template, the data acceptance ratio term data for the data extraction template, and the data acceptance weighting factor data assigned to the data extraction template into data extraction template ranking score data for the data extraction template; saving the data extraction template data and the data extraction template ranking score data for the data extraction template as ranked data extraction template data; and aggregating ranked data extraction template data associated with two or more data extraction templates associated with the specific source document type. | 27. A computer program product for managing user contributed data extraction templates using weighted ranking score analysis comprising: a nontransitory computer readable medium; and computer program code, encoded on the nontransitory computer readable medium, comprising computer readable instructions which, when executed via any set of one or more processors, perform the following: generating required number of fields data for a specific source document type indicating the required number of fields for which data is required to be extracted; receiving data extraction template data representing a data extraction template associated with the specific source document type; determining field hit count number data associated with the data extraction template; generating data field ratio term data for the data extraction template; assigning data field count weighting factor data to the data extraction template; using the data extraction template to extract data from received source documents of the specific source document type; monitoring the acceptance or rejection of data extracted from received source documents of the specific source document type using the data extraction template; generating data acceptance count data to be associated with the data extraction template; generating data acceptance ratio term data for the data extraction template; assigning data acceptance weighting factor data to the data extraction template; transforming the data field ratio term data for the data extraction template, the data field count weighting factor data assigned to the data extraction template, the data acceptance ratio term data for the data extraction template, and the data acceptance weighting factor data assigned to the data extraction template into data extraction template ranking score data for the data extraction template; saving the data extraction template data and the data extraction template ranking score data for the data extraction template as ranked data extraction template data; and aggregating ranked data extraction template data associated with two or more data extraction templates associated with the specific source document type. 33. The computer program product for managing user contributed data extraction templates using weighted ranking score analysis of claim 27 wherein the data field count weighting factor data assigned to the data extraction template is determined based, at least in part, on one or more data field count weighting factor parameters selected from the group of data field count weighting factor parameters consisting of: a determination of the type of data extraction template; a determination of the type of source document for which the data extraction template will eventually be used; a determination as to the age of the data extraction template; a determination as to the number of other data extraction templates associated with the specific type of source document; and any combination thereof. | 0.601988 |
13. A computer program product on a computer-readable medium, the product comprising instructions operable to cause a computer system to: receive a package containing multiple files; receive a request to open a file of the multiple files, the file having a file type, where the file type identifies a distinct data format of data in files of the file type; launch a default application for opening files of the file type; run the default application to identify a plurality of applications in the computing environment that are capable of opening files of the file type, each application in the plurality of applications being associated with the file type based on the file type and file association data; use the default application to select an application from the plurality of identified applications, the selection of the application being based at least in part on context information; and launching the selected application to open the file where the action to open the file is dependent on the file type. | 13. A computer program product on a computer-readable medium, the product comprising instructions operable to cause a computer system to: receive a package containing multiple files; receive a request to open a file of the multiple files, the file having a file type, where the file type identifies a distinct data format of data in files of the file type; launch a default application for opening files of the file type; run the default application to identify a plurality of applications in the computing environment that are capable of opening files of the file type, each application in the plurality of applications being associated with the file type based on the file type and file association data; use the default application to select an application from the plurality of identified applications, the selection of the application being based at least in part on context information; and launching the selected application to open the file where the action to open the file is dependent on the file type. 15. The computer program product of claim 13 , where the package is generated using an archiving application. | 0.654717 |
1. A method for using a computer system to provide a user interface to an electronic text, comprising in sequence the steps of: a. on a display controlled by the computer system, presenting a portion of an electronic text and a portion of an outline of said electronic text, wherein: i. an element of the text comprises at least one phrase appearing in said electronic text, said at least one phrase comprising at least one word; ii. said outline comprises a plurality of elements, wherein elements of the outline comprise copies of elements of said electronic text; iii. each element of the outline represents a portion of said electronic text; iv. the combined elements of the outline comprise substantially less text than the entire said electronic text; v. substantially all portions of said electronic text are represented by at least one element of the outline; vi. at least one outline element is hierarchically superior to at least two other outline elements, indicating that said hierarchically superior outline element represents text also represented by said at least two other outline elements; vii. the relative positional and hierarchical relationships of elements of the outline correspond to the relative positional and hierarchical relationships of the portions of said electronic text represented by said elements of the outline; and viii. said presented portion of said outline is presented on said display in a distinct screen region different from the screen region in which said portion of electronic text is presented; and b. detecting a change in display location within said electronic text, wherein: i. said display location represents a location of said electronic text that is presented on said computer display; and ii. said change in display location is from a text location corresponding to a first outline element presented in said distinct region of step a.viii, to a text location corresponding to a second outline element initially not presented in said distinct region of step a.viii; and c. displaying said second outline element in said distinct region of step a.viii, wherein: the relative positional and hierarchical relationships of elements of the outline displayed on said distinct region of step a.viii correspond to their positional and hierarchical relationships in said outline. | 1. A method for using a computer system to provide a user interface to an electronic text, comprising in sequence the steps of: a. on a display controlled by the computer system, presenting a portion of an electronic text and a portion of an outline of said electronic text, wherein: i. an element of the text comprises at least one phrase appearing in said electronic text, said at least one phrase comprising at least one word; ii. said outline comprises a plurality of elements, wherein elements of the outline comprise copies of elements of said electronic text; iii. each element of the outline represents a portion of said electronic text; iv. the combined elements of the outline comprise substantially less text than the entire said electronic text; v. substantially all portions of said electronic text are represented by at least one element of the outline; vi. at least one outline element is hierarchically superior to at least two other outline elements, indicating that said hierarchically superior outline element represents text also represented by said at least two other outline elements; vii. the relative positional and hierarchical relationships of elements of the outline correspond to the relative positional and hierarchical relationships of the portions of said electronic text represented by said elements of the outline; and viii. said presented portion of said outline is presented on said display in a distinct screen region different from the screen region in which said portion of electronic text is presented; and b. detecting a change in display location within said electronic text, wherein: i. said display location represents a location of said electronic text that is presented on said computer display; and ii. said change in display location is from a text location corresponding to a first outline element presented in said distinct region of step a.viii, to a text location corresponding to a second outline element initially not presented in said distinct region of step a.viii; and c. displaying said second outline element in said distinct region of step a.viii, wherein: the relative positional and hierarchical relationships of elements of the outline displayed on said distinct region of step a.viii correspond to their positional and hierarchical relationships in said outline. 3. The method of claim 1 , further comprising the step of: d. dynamically maintaining display in said distinct region of step a.viii of each of the outline elements that correspond to text represented by said display location of step b. | 0.520939 |
1. A method comprising: receiving, at a server, from a client, over a network, a request that includes both query data and a context vector; wherein the query data is a first set of one or more terms; wherein the query data is different from the context vector; wherein the request further includes first data identifying the first set of one or more terms to the server as a set of one or more search terms, the one or more search terms having been entered by a user; wherein the request further includes second data indicating to the server that the context vector represents a set of one or more context terms, the one or more context terms representative of content presented at the client during a time that the user entered the set of one or more search terms; in response to the request, generating a search result comprising a ranked list of hits by at least: selecting one or more search keywords and ranking criteria based on the request, searching a search corpus for the search keywords to identify a plurality of hits, and ranking the plurality of hits using the ranking criteria to generate the ranked list of hits; wherein generating the search result includes at least one of: selecting the one or more search keywords based, at least in part, on the query data, but not the context vector, and selecting the ranking criteria based at least in part on the context vector; selecting the one or more search keywords based, at least in part, on the context vector, but not the query data, and selecting the ranking criteria based at least in part on the query data; selecting the one or more search keywords based, at least in part, on the context vector, and selecting the ranking criteria based, at least in part, on the query data, but not the context vector; or selecting the ranking criteria based, at least in part, on one or more context terms in the context vector that were not selected as the one or more search keywords; wherein the method is performed by one or more computing devices. | 1. A method comprising: receiving, at a server, from a client, over a network, a request that includes both query data and a context vector; wherein the query data is a first set of one or more terms; wherein the query data is different from the context vector; wherein the request further includes first data identifying the first set of one or more terms to the server as a set of one or more search terms, the one or more search terms having been entered by a user; wherein the request further includes second data indicating to the server that the context vector represents a set of one or more context terms, the one or more context terms representative of content presented at the client during a time that the user entered the set of one or more search terms; in response to the request, generating a search result comprising a ranked list of hits by at least: selecting one or more search keywords and ranking criteria based on the request, searching a search corpus for the search keywords to identify a plurality of hits, and ranking the plurality of hits using the ranking criteria to generate the ranked list of hits; wherein generating the search result includes at least one of: selecting the one or more search keywords based, at least in part, on the query data, but not the context vector, and selecting the ranking criteria based at least in part on the context vector; selecting the one or more search keywords based, at least in part, on the context vector, but not the query data, and selecting the ranking criteria based at least in part on the query data; selecting the one or more search keywords based, at least in part, on the context vector, and selecting the ranking criteria based, at least in part, on the query data, but not the context vector; or selecting the ranking criteria based, at least in part, on one or more context terms in the context vector that were not selected as the one or more search keywords; wherein the method is performed by one or more computing devices. 8. The method of claim 1 , wherein generating the search result comprises: selecting the one or more search keywords based, at least in part, on the query data, but not the context vector, and selecting the ranking criteria based at least in part on the context vector. | 0.585709 |
2. The system of claim 1 wherein the legal workflow includes intellectual property legal workflow. | 2. The system of claim 1 wherein the legal workflow includes intellectual property legal workflow. 6. The system of claim 2 wherein the intellectual property legal workflow includes agreement legal workflow. | 0.957455 |
2. The method of claim 1 , wherein the graph comprises a weighted graph and edges in the weighted graph are assigned weights measuring similarities between document images represented by nodes connected by the edges. | 2. The method of claim 1 , wherein the graph comprises a weighted graph and edges in the weighted graph are assigned weights measuring similarities between document images represented by nodes connected by the edges. 3. The method of claim 2 , wherein a weight assigned to an edge in the weighted graph comprises a combination of component scores measuring similarities between image features detected in images represented by nodes connected by the edge, and the method further comprises: training a machine-learning engine using labeled image pairs; and generating the combination of component scores by the machine-learning engine based on the component scores. | 0.781676 |
2. The method according to claim 1 , wherein the similarity score is calculated according to the following equation: [ Equation 2 ] s f = w ( f q ) · w ( f d ) d ( f q , f d ) ( 2 ) wherein w(f) is a size of a local area from which a feature vector f is extracted, and d(f q , f d ) is the Euclidean distance between a query feature vector f q and a similar vector f d corresponding to the query feature vector f q . | 2. The method according to claim 1 , wherein the similarity score is calculated according to the following equation: [ Equation 2 ] s f = w ( f q ) · w ( f d ) d ( f q , f d ) ( 2 ) wherein w(f) is a size of a local area from which a feature vector f is extracted, and d(f q , f d ) is the Euclidean distance between a query feature vector f q and a similar vector f d corresponding to the query feature vector f q . 7. The method according to claim 2 , wherein the image database further stores distances and orientations from a predetermined reference point with respect to respective stored images, the distances and orientations being associated with the corresponding reference feature vector extracted from the image, the method further comprising the steps of: determining locations of imaginary reference points to the similar vectors for each similar vector by using the distance and orientation, which are stored as being associated with the corresponding reference feature vector; determining a plurality of clusters by collecting the similar vectors, which have imaginary reference points close to one another, and with which the same object ID is associated; and obtaining a locality score, which represents a degree of similarity of each cluster obtained as a result of the step of determining clusters, through a predetermined process, wherein each resulting score is calculated according to the following equation instead of the equation (1): [ Equation 3 ] s = ∑ s f N f ∑ r C N C ( 3 ) wherein r c is the locality score, and Nc is a number of similar vectors belonging to each cluster. | 0.774884 |
11. An apparatus comprising: at least one processor; and at least one memory including computer program code for one or more programs, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following, receive a user input that is drawn over a map user interface to delineate a route, a geographical area, or a combination thereof depicted in the map user interface; identify contextual information associated with mapping data of the route, the geographical area, or a combination thereof; determine one or more functions of one or more services based on the contextual information; and initiate a presentation of the one or more functions as one or more contextual menu options of a contextual menu, wherein the contextual menu is rendered over the map user interface. | 11. An apparatus comprising: at least one processor; and at least one memory including computer program code for one or more programs, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following, receive a user input that is drawn over a map user interface to delineate a route, a geographical area, or a combination thereof depicted in the map user interface; identify contextual information associated with mapping data of the route, the geographical area, or a combination thereof; determine one or more functions of one or more services based on the contextual information; and initiate a presentation of the one or more functions as one or more contextual menu options of a contextual menu, wherein the contextual menu is rendered over the map user interface. 14. The apparatus of claim 11 , wherein the apparatus is further caused to: render the one or more functions in the contextual menu as one or more respective graphical icons. | 0.589744 |
10. The method of claim 1 including automatically updating a reputation weight of the reviewer user from which the review was received based at least in part on the automatically generated aggregate assessment of the content of the review. | 10. The method of claim 1 including automatically updating a reputation weight of the reviewer user from which the review was received based at least in part on the automatically generated aggregate assessment of the content of the review. 11. The method of claim 10 including, before the automatic updating of the reputation weight of the reviewer user, determining whether the received evaluations satisfy an author reputation calculation threshold, and wherein the automatic updating of the reputation weight of the reviewer user is performed only when it is determined that the received evaluations satisfy the author reputation calculation threshold. | 0.937517 |
1. A method implemented on a computer, comprising: creating a customizable user interface (UI), using a processor of the computer, wherein the creating comprises selecting a UI theme from a plurality of theme templates, using the processor, wherein the UI theme defines an appearance of a customizable product class, the customizable product class comprises one or more customizable products, and the one or more customizable products are available to be purchased, adding one or more UI groups to the UI theme, using the processor, wherein each UI group of the one or more UI groups defines a subclass of the customizable product class, the subclass defines a component product of one or more component products, the component product is related to a customizable product of the one or more customizable products, and the component product is configured to be used in customizing the customizable product, assigning one or more UI controls to the subclass, using the processor, and providing a subclass-specific user interface, using the processor, wherein the subclass-specific user interface is configured to allow customization of the customizable product in a user-specified manner prior to purchase of the customizable product by virtue of being configured to allow selection of the component product using a corresponding UI control of the UI controls, and the corresponding UI control corresponds to the component product. | 1. A method implemented on a computer, comprising: creating a customizable user interface (UI), using a processor of the computer, wherein the creating comprises selecting a UI theme from a plurality of theme templates, using the processor, wherein the UI theme defines an appearance of a customizable product class, the customizable product class comprises one or more customizable products, and the one or more customizable products are available to be purchased, adding one or more UI groups to the UI theme, using the processor, wherein each UI group of the one or more UI groups defines a subclass of the customizable product class, the subclass defines a component product of one or more component products, the component product is related to a customizable product of the one or more customizable products, and the component product is configured to be used in customizing the customizable product, assigning one or more UI controls to the subclass, using the processor, and providing a subclass-specific user interface, using the processor, wherein the subclass-specific user interface is configured to allow customization of the customizable product in a user-specified manner prior to purchase of the customizable product by virtue of being configured to allow selection of the component product using a corresponding UI control of the UI controls, and the corresponding UI control corresponds to the component product. 9. The method of claim 1 wherein each of the one or more UI controls comprises one of a drop down box, a radio button, and a list box. | 0.577606 |
8. The apparatus of claim 5 wherein the computer network comprises the internet. | 8. The apparatus of claim 5 wherein the computer network comprises the internet. 9. The apparatus of claim 8 wherein the audio files are assigned a navigation system. | 0.917376 |
29. A computer program product embodied on at least one non-transitory computer readable medium and configured to cause at least one hardware processor to operate, the computer program product comprising: code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to identify at least one computer-readable Extensible Markup Language (XML)-compliant data document that is eXtensible Business Reporting Language (XBRL)-compliant and includes: a plurality of line items with a plurality of data values, and a plurality of computer-readable semantic tags that describe a semantic meaning of the data values, where the at least one computer-readable XML-compliant data document is capable of including multiple hierarchical relationships between two of the plurality of line items; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to parse the at least one computer-readable XML-compliant data document, by: receiving the at least one computer-readable XML-compliant data document, identifying the multiple hierarchical relationships between the two line items, and at least one of the computer-readable semantic tags that describes the semantic meaning of at least one of the data values included in the at least one computer-readable XML-compliant data document; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to access a plurality of computer-readable rules including: a computer-readable datatype rule for validation of a type of data values, a computer-readable calculation rule for validation of a calculation involving data values, and a computer-readable unit rule for validation of a unit of data values; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to process the at least one computer-readable XML-compliant data document, by: identifying at least a subset of the computer-readable rules including at least one of: the computer-readable datatype rule for validation of the type of data values, the computer-readable calculation rule for validation of the calculation involving data values, or the computer-readable unit rule for validation of the unit of data values; and processing at least a portion of the data values of at least a portion of the plurality of line items of the at least one computer-readable XML-compliant data document, utilizing the at least subset of the computer-readable rules, and at least a portion of the computer-readable semantic tags of the at least one computer-readable XML-compliant data document; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to display a result of a validation of the at least one computer-readable XML-compliant data document; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to develop a report, by: identifying the at least one computer-readable semantic tag that describes the semantic meaning of the at least one data value included in the at least one computer-readable XML-compliant data document, and retrieving data from one or more sources to represent the at least one data value in the report. | 29. A computer program product embodied on at least one non-transitory computer readable medium and configured to cause at least one hardware processor to operate, the computer program product comprising: code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to identify at least one computer-readable Extensible Markup Language (XML)-compliant data document that is eXtensible Business Reporting Language (XBRL)-compliant and includes: a plurality of line items with a plurality of data values, and a plurality of computer-readable semantic tags that describe a semantic meaning of the data values, where the at least one computer-readable XML-compliant data document is capable of including multiple hierarchical relationships between two of the plurality of line items; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to parse the at least one computer-readable XML-compliant data document, by: receiving the at least one computer-readable XML-compliant data document, identifying the multiple hierarchical relationships between the two line items, and at least one of the computer-readable semantic tags that describes the semantic meaning of at least one of the data values included in the at least one computer-readable XML-compliant data document; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to access a plurality of computer-readable rules including: a computer-readable datatype rule for validation of a type of data values, a computer-readable calculation rule for validation of a calculation involving data values, and a computer-readable unit rule for validation of a unit of data values; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to process the at least one computer-readable XML-compliant data document, by: identifying at least a subset of the computer-readable rules including at least one of: the computer-readable datatype rule for validation of the type of data values, the computer-readable calculation rule for validation of the calculation involving data values, or the computer-readable unit rule for validation of the unit of data values; and processing at least a portion of the data values of at least a portion of the plurality of line items of the at least one computer-readable XML-compliant data document, utilizing the at least subset of the computer-readable rules, and at least a portion of the computer-readable semantic tags of the at least one computer-readable XML-compliant data document; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to display a result of a validation of the at least one computer-readable XML-compliant data document; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to develop a report, by: identifying the at least one computer-readable semantic tag that describes the semantic meaning of the at least one data value included in the at least one computer-readable XML-compliant data document, and retrieving data from one or more sources to represent the at least one data value in the report. 30. The computer program product of claim 29 , wherein the computer program product is configured such that the multiple hierarchical relationships between the two line items is reflected in a Numerator Document Object Model (NDOM). | 0.697427 |
6. The information transfer system of claim 1 , wherein the control codes comprises marking codes for marking groups of characters, the display control means being provided with means for selecting the character codes for which corresponding characters are to be displayed on the basis of the marking codes. | 6. The information transfer system of claim 1 , wherein the control codes comprises marking codes for marking groups of characters, the display control means being provided with means for selecting the character codes for which corresponding characters are to be displayed on the basis of the marking codes. 7. The information transfer system as claimed in claim 6 , wherein the marking codes comprise a start code preceding the marked group of characters, and pause code following the marked group of characters. | 0.897668 |
1. A system for identifying service candidates in legacy source code, the system comprising: a source code analyzer configured to perform structured and unstructured analyses of computer software source code having a plurality of procedures; a repository for storing results of said analyses; a target profile analyzer configured to analyze a target service description of a Service Oriented Architecture (SOA) and formulate a query therefrom; a search module configured to apply said query to said repository in order to identify elements in said source code that match said target service description, and combine any of said matches that are within a predefined distance from each other within said source code; a ranking engine configured to rank any of said combined matches in accordance with at least one predefined heuristic; and a procedure aggregator configured to aggregate said combined matches by their location in propinquity to said procedures, compare interface definitions defined for said service description to entry and exit points of any of said procedures to identify candidate procedures having input and output parameters similar to those of said interface definitions, and produce a ranked list of candidate procedures that map into said target service description. | 1. A system for identifying service candidates in legacy source code, the system comprising: a source code analyzer configured to perform structured and unstructured analyses of computer software source code having a plurality of procedures; a repository for storing results of said analyses; a target profile analyzer configured to analyze a target service description of a Service Oriented Architecture (SOA) and formulate a query therefrom; a search module configured to apply said query to said repository in order to identify elements in said source code that match said target service description, and combine any of said matches that are within a predefined distance from each other within said source code; a ranking engine configured to rank any of said combined matches in accordance with at least one predefined heuristic; and a procedure aggregator configured to aggregate said combined matches by their location in propinquity to said procedures, compare interface definitions defined for said service description to entry and exit points of any of said procedures to identify candidate procedures having input and output parameters similar to those of said interface definitions, and produce a ranked list of candidate procedures that map into said target service description. 2. A system according to claim 1 wherein any of said elements is implemented in computer hardware and/or in computer software embodied in a computer-readable medium. | 0.556944 |
1. A method for retrieving information in a computer network system having at least one network server device and a user device, said user device and said network server having established a successful network session so that they are in processing communication with one another; said method comprising: displaying a target page on a screen connected to said user device, said target page including a plurality of first level link references for selection by any user where each first level link reference further includes subsequent level link references; providing a string of words; searching all reference links provided by said target page and all subsequent pages to identify only those references including said provided string of words. | 1. A method for retrieving information in a computer network system having at least one network server device and a user device, said user device and said network server having established a successful network session so that they are in processing communication with one another; said method comprising: displaying a target page on a screen connected to said user device, said target page including a plurality of first level link references for selection by any user where each first level link reference further includes subsequent level link references; providing a string of words; searching all reference links provided by said target page and all subsequent pages to identify only those references including said provided string of words. 2. The method of claim 1, wherein said string is comprised only of one word. | 0.621704 |
6. A system for teaching and transcription of language which comprises: a first substrate upon which a plurality of language elements are arranged in a rectangular array having twenty-seven positions, said array characterized by a left hand side having eight consonant language element pairs wherein the individual language elements of said left hand side consonant pairs are identically articulated but differently voiced, and said array is further characterized by a right hand side having four distinct groups of consonant langauge elements, said right hand groups known as "nasals," "vowel-tone," "wind" and "consonant doubles," said right hand groups differentiated by kinesthetic requirements; and a second substrate upon which a plurality of vowel language elements are arranged in a substantially W-shaped array having eighteen positions, said array characterized by three types of vowel language element positions, stable vowel positions marked with solid-lined boxes, straight-slider vowel positions marked with solid lined boxes containing an arrow, and cross-slider vowels marked with broken lined boxes, wherein the individual vowel language element positions of said array are arranged to correspond to a tongue position during articulation of that vowel language element, the tongue position defined in terms of spatial coordinates using two axis, the first axis having front, central and back coordinates, the second axis having high, mid and low coordinates. | 6. A system for teaching and transcription of language which comprises: a first substrate upon which a plurality of language elements are arranged in a rectangular array having twenty-seven positions, said array characterized by a left hand side having eight consonant language element pairs wherein the individual language elements of said left hand side consonant pairs are identically articulated but differently voiced, and said array is further characterized by a right hand side having four distinct groups of consonant langauge elements, said right hand groups known as "nasals," "vowel-tone," "wind" and "consonant doubles," said right hand groups differentiated by kinesthetic requirements; and a second substrate upon which a plurality of vowel language elements are arranged in a substantially W-shaped array having eighteen positions, said array characterized by three types of vowel language element positions, stable vowel positions marked with solid-lined boxes, straight-slider vowel positions marked with solid lined boxes containing an arrow, and cross-slider vowels marked with broken lined boxes, wherein the individual vowel language element positions of said array are arranged to correspond to a tongue position during articulation of that vowel language element, the tongue position defined in terms of spatial coordinates using two axis, the first axis having front, central and back coordinates, the second axis having high, mid and low coordinates. 7. A method of teaching and enunciation of language elements using the system of claim 6 which comprises the steps of: (a) providing the system of claim 6; (b) presenting sounds associated with each of the langauge elements of the system of claim 6; (c) introducing the articulation mechanism, mouth pattern and tongue position associated with the sounds of each language element; (d) introducing a symbolic representation for each language element; and (e) relating said language element articulation mechanism to the symbol position of the language element in the system of claim 6. | 0.5 |
2. The computer-implemented method of claim 1 , further comprising providing for display a graphical representation of the issue network on a display device, wherein the graphical representation of the issue network comprises nodes representing individual normalized issues of the set of normalized issues, and edges linking the nodes based on the co-occurrences of the individual normalized issues within individual documents within the set of documents. | 2. The computer-implemented method of claim 1 , further comprising providing for display a graphical representation of the issue network on a display device, wherein the graphical representation of the issue network comprises nodes representing individual normalized issues of the set of normalized issues, and edges linking the nodes based on the co-occurrences of the individual normalized issues within individual documents within the set of documents. 3. The computer-implemented method of claim 2 , wherein each edge provides a visual representation of a strength of a link between two nodes based on a number of co-occurrences between two individual issues represented by the two nodes. | 0.816581 |
1. A computer implemented method for detecting meaningless lexical units in an electronic message received by a server as to generate an abstract of the electronic message, the method comprising: (i) performing, by the server, a syntax analysis of a most significant part of the electronic message and determining at least one lexical unit as a first potential meaningless lexical unit, the first potential meaningless lexical unit comprising a plurality of control elements, the most significant part of the electronic message having been determined by analyzing a most significant logical block of source code from a plurality of the logical blocks of a source code of the electronic message; (ii) determining, by the server, a numerical control sum of the first potential meaningless lexical unit, the numerical control sum being based on the plurality of control elements having a respective numeric value representative of the first potential meaningless lexical unit; (iii) using the numerical control sum, accessing a lexical unit database located on the server, the lexical unit database containing a plurality of pre-determined meaningless lexical units with their associated pre-determined numerical control sums; (iv) determining, by the server, the first potential meaningless lexical unit is a meaningless lexical unit if the lexical units database includes at least one meaningless lexical unit with the pre-determined numerical control sum matching the numerical control sum of the first potential meaningless lexical unit, the matching comprising checking a measure of a difference between the numerical control sums and determining the numerical control sums as matching if the measure of the difference is within a predefined permissible amplitude of the difference; (v) if the first potential meaningless lexical unit is determined to be the meaningless lexical unit, generating, by the server, the abstract of the electronic message, the abstract not including the at least one meaningless lexical unit. | 1. A computer implemented method for detecting meaningless lexical units in an electronic message received by a server as to generate an abstract of the electronic message, the method comprising: (i) performing, by the server, a syntax analysis of a most significant part of the electronic message and determining at least one lexical unit as a first potential meaningless lexical unit, the first potential meaningless lexical unit comprising a plurality of control elements, the most significant part of the electronic message having been determined by analyzing a most significant logical block of source code from a plurality of the logical blocks of a source code of the electronic message; (ii) determining, by the server, a numerical control sum of the first potential meaningless lexical unit, the numerical control sum being based on the plurality of control elements having a respective numeric value representative of the first potential meaningless lexical unit; (iii) using the numerical control sum, accessing a lexical unit database located on the server, the lexical unit database containing a plurality of pre-determined meaningless lexical units with their associated pre-determined numerical control sums; (iv) determining, by the server, the first potential meaningless lexical unit is a meaningless lexical unit if the lexical units database includes at least one meaningless lexical unit with the pre-determined numerical control sum matching the numerical control sum of the first potential meaningless lexical unit, the matching comprising checking a measure of a difference between the numerical control sums and determining the numerical control sums as matching if the measure of the difference is within a predefined permissible amplitude of the difference; (v) if the first potential meaningless lexical unit is determined to be the meaningless lexical unit, generating, by the server, the abstract of the electronic message, the abstract not including the at least one meaningless lexical unit. 8. The method of claim 1 , wherein a lexical unit from the plurality of lexical units from the lexical unit database is meaningless if its weight exceeds the predefined threshold value. | 0.696279 |
1. A method comprising, by one or more computing devices: accessing a first set of queries of an online social network received from one or more users of the online social network, each query being a particular type of query; retrieving, for each query of the first set of queries, a first number of objects that match at least a portion of the query from one or more data stores, each data store storing one or more objects associated with the online social network, wherein each object is associated with a pre-determined static-score calculated by a static-scoring algorithm, the static-score for each object being based at least in part on the type of the respective query, and wherein retrieving the first number of objects is based on the static-scores of the objects; calculating, for each query, a final-score for each retrieved object based on a final-scoring algorithm; and determining one or more revised static-scores for one or more of the retrieved objects based on a comparison of the final-scores calculated based on the final-scoring algorithm and the static-scores of the retrieved objects calculated based on the static-scoring algorithm, wherein the static-scores are revised, for each retrieved object, in order to reduce the difference between a static-rank of the retrieve object based on its static-score and a final-rank of the retrieved object based on its final-score. | 1. A method comprising, by one or more computing devices: accessing a first set of queries of an online social network received from one or more users of the online social network, each query being a particular type of query; retrieving, for each query of the first set of queries, a first number of objects that match at least a portion of the query from one or more data stores, each data store storing one or more objects associated with the online social network, wherein each object is associated with a pre-determined static-score calculated by a static-scoring algorithm, the static-score for each object being based at least in part on the type of the respective query, and wherein retrieving the first number of objects is based on the static-scores of the objects; calculating, for each query, a final-score for each retrieved object based on a final-scoring algorithm; and determining one or more revised static-scores for one or more of the retrieved objects based on a comparison of the final-scores calculated based on the final-scoring algorithm and the static-scores of the retrieved objects calculated based on the static-scoring algorithm, wherein the static-scores are revised, for each retrieved object, in order to reduce the difference between a static-rank of the retrieve object based on its static-score and a final-rank of the retrieved object based on its final-score. 15. The method of claim 1 , wherein the final-score for each retrieved object is calculated based at least on a relevance to the query associated with the retrieved object. | 0.651453 |
10. A system, comprising: one or more processors; memory; and instructions stored in the memory and configured for execution by the one or more processors, the instructions comprising instructions to: identify a plurality of documents, from a set of documents, wherein each of the plurality of documents include a top N terms, wherein the top N terms are the same for each of the plurality of documents, wherein the top N terms are based on respective term frequency scores, and wherein N is an integer; identify at least a subset of the identified documents that satisfy a pattern string; and form a document cluster from at least the subset of the identified documents. | 10. A system, comprising: one or more processors; memory; and instructions stored in the memory and configured for execution by the one or more processors, the instructions comprising instructions to: identify a plurality of documents, from a set of documents, wherein each of the plurality of documents include a top N terms, wherein the top N terms are the same for each of the plurality of documents, wherein the top N terms are based on respective term frequency scores, and wherein N is an integer; identify at least a subset of the identified documents that satisfy a pattern string; and form a document cluster from at least the subset of the identified documents. 22. The system of claim 10 , wherein the set of documents are documents belonging to a same website. | 0.714676 |
17. A system, comprising: at least one computer interoperably coupled with a memory storage and configured to: receive a plurality of core data foundations representing database resources and comprising database tables and operations; define a derived data foundation comprising a first plurality of links to the plurality of core data foundations and representing a hierarchical inheritance relationship of the plurality of core data foundations; receive a plurality of core business layers representing business concepts and comprising data objects associated to the database tables and the operations; define a derived business layer comprising a second plurality of links to the plurality of core business layers; generate a universe by compiling the derived business layer on top of the derived data foundation, wherein the universe exposes only data objects that are permitted to be published and that are associated with the derived business layer or inherited by the derived business layer from the derived data foundation; and process the universe using a computer-executable model checking tool for evaluating an integrity of the universe by determining whether one or more links of the first plurality of links or the second plurality of links is broken, such that determining that the one or more links are broken triggers a notification configured to enable a repair of the one or more links. | 17. A system, comprising: at least one computer interoperably coupled with a memory storage and configured to: receive a plurality of core data foundations representing database resources and comprising database tables and operations; define a derived data foundation comprising a first plurality of links to the plurality of core data foundations and representing a hierarchical inheritance relationship of the plurality of core data foundations; receive a plurality of core business layers representing business concepts and comprising data objects associated to the database tables and the operations; define a derived business layer comprising a second plurality of links to the plurality of core business layers; generate a universe by compiling the derived business layer on top of the derived data foundation, wherein the universe exposes only data objects that are permitted to be published and that are associated with the derived business layer or inherited by the derived business layer from the derived data foundation; and process the universe using a computer-executable model checking tool for evaluating an integrity of the universe by determining whether one or more links of the first plurality of links or the second plurality of links is broken, such that determining that the one or more links are broken triggers a notification configured to enable a repair of the one or more links. 19. The system of claim 17 , further configured to customize the derived data foundation by at least one of selecting only necessary core database tables, adding JOINS between tables from different core data foundations, adding contexts, adding calculated columns, or adding a list of values or parameters. | 0.550857 |
8. One or more hardware computer-readable memory devices or hardware storage devices comprising executable instructions which, when executed by one or more processors, cause the one or more processors to perform acts comprising: identifying data streams in different portions of a document associated with a query, the data streams including at least a first data stream obtained from a first portion of the document and a second data stream that is different from the first data stream, the second data stream being obtained from a second portion of the document other than the first portion; modeling the data streams as separate language models corresponding to the different portions of the document, the separate language models including at least: a first language model of the first data stream obtained from the first portion of the document, the first language model reflecting first language usage in the first portion of the document, and a second language model, different from the first language model, of the second data stream obtained from the second portion of the document, the second language model reflecting second language usage in the second portion of the document that is different from the first language usage in the first portion of the document; estimating mixture weights for combining the separate language models into a mixed language model; and creating the mixed language model by interpolating the mixture weights. | 8. One or more hardware computer-readable memory devices or hardware storage devices comprising executable instructions which, when executed by one or more processors, cause the one or more processors to perform acts comprising: identifying data streams in different portions of a document associated with a query, the data streams including at least a first data stream obtained from a first portion of the document and a second data stream that is different from the first data stream, the second data stream being obtained from a second portion of the document other than the first portion; modeling the data streams as separate language models corresponding to the different portions of the document, the separate language models including at least: a first language model of the first data stream obtained from the first portion of the document, the first language model reflecting first language usage in the first portion of the document, and a second language model, different from the first language model, of the second data stream obtained from the second portion of the document, the second language model reflecting second language usage in the second portion of the document that is different from the first language usage in the first portion of the document; estimating mixture weights for combining the separate language models into a mixed language model; and creating the mixed language model by interpolating the mixture weights. 13. The one or more hardware computer-readable memory devices or hardware storage devices of claim 8 , wherein the first language model and the second language model are open vocabulary language models. | 0.566425 |
1. A method for presenting information, the method comprising the acts of: presenting an input expression on a workspace associated with a computational software application; presenting on the workspace a result that is an evaluation of the input expression by the computational software application, while presenting on the workspace the input expression; presenting on the workspace a first user interface mechanism associated with the input expression, while presenting on the workspace the result; hiding on the workspace the input expression, while presenting on the workspace the result, in response to an activation of the first user interface mechanism, wherein hiding the input expression reduces the size of the workspace as compared to when both the input expression and the result are presented on the workspace; presenting on the workspace a second user interface mechanism associated with the input expression; and presenting on the workspace the input expression in response to an activation of the second user interface mechanism, while presenting on the workspace the result. | 1. A method for presenting information, the method comprising the acts of: presenting an input expression on a workspace associated with a computational software application; presenting on the workspace a result that is an evaluation of the input expression by the computational software application, while presenting on the workspace the input expression; presenting on the workspace a first user interface mechanism associated with the input expression, while presenting on the workspace the result; hiding on the workspace the input expression, while presenting on the workspace the result, in response to an activation of the first user interface mechanism, wherein hiding the input expression reduces the size of the workspace as compared to when both the input expression and the result are presented on the workspace; presenting on the workspace a second user interface mechanism associated with the input expression; and presenting on the workspace the input expression in response to an activation of the second user interface mechanism, while presenting on the workspace the result. 6. The method according to claim 1 , wherein the first user interface mechanism and the second user interface mechanism are a first state and a second state, respectively, of a single user interface mechanism; wherein the method further comprises: changing the state of the single user interface mechanism from the first state to the second state in response to the activation of the first user interface mechanism; changing the state of the single user interface mechanism from the second state to the first state in response to the activation of the second user interface mechanism. | 0.51464 |
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